866 Collibra Jobs - Page 17

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0225-0230 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Lead Analyst -Data Management (Collibra) Position: Lead Analyst Experience: 4- 15 Years Category: Software Development/ Engineering Shift: Timing:1.00 PM-10.00 PM Main location: Bangalore and Chennai Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description: We are looking for an experienced Data Management resource to join our team. The ideal candidate should have experince in managing, configuring, and supporting Collibra or similar data governance tools. Your future duties and responsibilities: Generate and maintain reports to track data governance and quality metrics. o Provide insights on platform usage, compliance, and governance effectiveness to stakeholders. Collaboration with Stakeholders: o Collaborate with data stewards, data owners, business users, and other key stakeholders to understand their requirements and ensure that Collibra is configured to meet business needs. o Assist in the training and onboarding of new users to ensure effective use of the platform. Required qualifications to be successful in this role: Must-Have Skills: Minimum of 4+years of experience in managing, configuring, and supporting Collibra or similar data governance tools. o Experience in data governance, data management, and metadata management. o Strong understanding of data governance frameworks, data quality principles, and metadata management. Certifications (Preferred but not required): o Collibra Certified Professional or similar certifications. o ITIL Foundation or other relevant IT service management certifications. Skills: AutoSys Python Unix Java What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Job Description Associate, Data Transfer, Integration & Quality II At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Associate, Data Transfer, Integration & Quality II to join our Wealth Management Data Governance team. This role is located in Pune, MH – HYBRID. In this role, you’ll make an impact in the following ways: This is a unique opportunity to join Data Governance team and help be a pivotal part of Wealth Managements data transformation. The team was formed to establish robust data management and governance practices as well develop a data hub that makes information accessible and actionable to our front-line business partners. The individual in this role will have the opportunity to learn industry best practices for data management, data quality, refine their data wrangling skills, learn more about the Wealth Management and serve up data driven insights to our business partners. One of the team’s primary objectives is to implement a collaborative data platform for a more streamlined way of moving, transforming, analyzing, and communicating information. This will require the analyst to build relationships with key stakeholders, to work with internal clients to understand their data needs, and to partner with IT to deliver data solutions. A key tool for the team is Collibra, CDQ and DataIku. Collibra, CDQ and Dataiku provides most of the functions needed to perform the role. i.e. connections to databases, IDE functionality, SQL functions, Jupyter notebooks. SQL software is needed to connect to certain data bases. Deliver value and deliver value frequently Build and maintain relationships with key stakeholders in WM Businesses and IT Translates complex technical concepts and analyses to non-technical audiences Prepares ad-hoc reports at the request of managers and/or other leaders Build BI and machine learning prototypes and derive actionable insights for the Businesses To be successful in this role, we’re seeking the following: B Tech/BE/BS Degree (stats, math, engineering degrees are a plus) 3+ years of Experience working in Data Quality and Data Management 2+ years of experience with Collibra, CDQ Excellent interpersonal and client-facing skills 2+ years of experience with SQL Good knowledge on Snowflake Passion for helping others succeed Passion for learning new skills Self-starter Dataiku experience is good to have Experience in financial industry is preferred Good knowledge of Excel Agile experience is a plus At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion , Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

What We Are Looking: DQ tool experience in Collibra / Informatica / Atacama (Collibra preferred) Share Resumes to afreen.banu@in.experis.com Note: Kindly share alternate Mail Id's And Contact Number with CV'S

Position Overview : We are seeking an experienced Data Catalog Lead to lead the implementation and ongoing development of enterprise data catalog using Collibra. This role focuses specifically on healthcare payer industry requirements, including complex regulatory compliance, member data privacy, and multi-system data integration challenges unique to health plan operations. Key Responsibilities : - Data Catalog Implementation & Development - Configure and customize Collibra workflows, data models, and governance processes to support health plan business requirements - Develop automated data discovery and cataloging processes for healthcare data assets including claims, eligibility, provider networks, and member information - Design and implement data lineage tracking across complex healthcare data ecosystems spanning core administration systems, data warehouses, and analytics platforms - Healthcare-Specific Data Governance - Build specialized data catalog structures for healthcare data domains including medical coding systems (ICD-10, CPT, HCPCS), pharmacy data (NDC codes), and provider taxonomies - Configure data classification and sensitivity tagging for PHI (Protected Health Information) and PII data elements in compliance with HIPAA requirements - Implement data retention and privacy policies within Collibra that align with healthcare regulatory requirements and member consent management - Develop metadata management processes for regulatory reporting datasets (HEDIS, Medicare Stars, MLR reporting, risk adjustment) Technical Integration & Automation : - Integrate Collibra with healthcare payer core systems including claims processing platforms, eligibility systems, provider directories, and clinical data repositories - Implement automated data quality monitoring and profiling processes that populate the data catalog with technical and business metadata - Configure Collibra's REST APIs to enable integration with existing data governance tools and business intelligence platforms Required Qualifications : - Collibra Platform Expertise - 8+ years of hands-on experience with Collibra Data Intelligence Cloud platform implementation and administration - Expert knowledge of Collibra's data catalog, data lineage, and data governance capabilities - Proficiency in Collibra workflow configuration, custom attribute development, and role-based access control setup - Experience with Collibra Connect for automated metadata harvesting and system integration - Strong understanding of Collibra's REST APIs and custom development capabilities - Healthcare Payer Industry Knowledge - 4+ years of experience working with healthcare payer/health plan data environments - Deep understanding of healthcare data types including claims (professional, institutional, pharmacy), eligibility, provider data, and member demographics - Knowledge of healthcare industry standards including HL7, X12 EDI transactions, and FHIR specifications - Familiarity with healthcare regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid managed care) - Understanding of healthcare coding systems (ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT) Technical Skills : - Strong SQL skills and experience with healthcare databases (claims databases, clinical data repositories, member systems) - Knowledge of cloud platforms (AWS, Azure, GCP) and their integration with Collibra cloud services - Understanding of data modeling principles and healthcare data warehouse design patterns Data Governance & Compliance : - Experience implementing data governance frameworks in regulated healthcare environments - Knowledge of data privacy regulations (HIPAA, state privacy laws) and their implementation in data catalog tools - Understanding of data classification, data quality management, and master data management principles - Experience with audit trail requirements and compliance reporting in healthcare organizations Preferred Qualifications : - Advanced Healthcare Experience - Experience with specific health plan core systems (such as HealthEdge, Facets, QNXT, or similar platforms) - Knowledge of Medicare Advantage, Medicaid managed care, or commercial health plan operations - Understanding of value-based care arrangements and their data requirements - Experience with clinical data integration and population health analytics Technical Certifications & Skills : - Collibra certification (Data Citizen, Data Steward, or Technical User) - Experience with additional data catalog tools (Alation, Apache Atlas, IBM Watson Knowledge Catalog) - Knowledge of data virtualization tools and their integration with data catalog platforms - Experience with healthcare interoperability standards and API management

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0225-0230 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Lead Analyst -Data Management (Collibra) Position: Lead Analyst Experience: 4- 15 Years Category: Software Development/ Engineering Shift: Timing:1.00 PM-10.00 PM Main location: Bangalore and Chennai Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description: We are looking for an experienced Data Management resource to join our team. The ideal candidate should have experince in managing, configuring, and supporting Collibra or similar data governance tools. Your future duties and responsibilities: Generate and maintain reports to track data governance and quality metrics. o Provide insights on platform usage, compliance, and governance effectiveness to stakeholders. Collaboration with Stakeholders: o Collaborate with data stewards, data owners, business users, and other key stakeholders to understand their requirements and ensure that Collibra is configured to meet business needs. o Assist in the training and onboarding of new users to ensure effective use of the platform. Required qualifications to be successful in this role: Must-Have Skills: Minimum of 4+years of experience in managing, configuring, and supporting Collibra or similar data governance tools. o Experience in data governance, data management, and metadata management. o Strong understanding of data governance frameworks, data quality principles, and metadata management. Certifications (Preferred but not required): o Collibra Certified Professional or similar certifications. o ITIL Foundation or other relevant IT service management certifications. Skills: AutoSys Python Unix Java What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 5 - 10 years Key Skills: Azure Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: Azure Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 5 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have Azure certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 5 - 10 years Key Skills: Azure Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: Azure Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 5 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have Azure certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 5.0 - 10 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India.;l Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: AWS Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 5 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 5.0 - 10.0 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India.;l Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: AWS Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 5 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Associate Tower: Data, Analytics & Specialist Managed Service Experience: : 3 -5.5 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: AWS Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 2 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 1-3 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

Title : Senior Data Architect Years of Experience : 10+ years Job Description The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments. Key responsibilities · Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns · Design logical and physical data models, semantic layers, and metadata frameworks · Establish data quality, lineage, governance, and security policies · Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks · Integrate AI and analytics solutions with operational data platforms · Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake · Lead architecture reviews, design sessions, and CoE reference architecture development Technical Skills · Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift · Data Modeling: ERWin, dbt, Power Designer · Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark · Integration: Azure Data Factory, Kafka, Event Grid, SSIS · Metadata/Lineage: Purview, Collibra, Informatica · BI Platforms: Power BI, Tableau, Looker · Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA Qualification · Bachelor’s or Master’s in Computer Science, Information Systems, or Data Engineering · Microsoft Certified: Azure Data Engineer / Azure Solutions Architect · Strong experience building cloud-native data architectures · Demonstrated ability to create data blueprints aligned with business strategy and compliance. Job Types: Full-time, Permanent Work Location: Hybrid remote in Chennai, Tamil Nadu Expected Start Date: 12/07/2025

We are seeking an experienced and innovative Senior Software Engineer specializing in Collibra, to drive advanced data governance solutions that empower organizations through enhanced metadata management, data lineage, and taxonomies. This role is critical in ensuring resilient solutions that align with industry standards and meet complex reporting requirements. Responsibilities Support a wide range of Collibra capabilities, including metadata ingestion, data dictionaries, taxonomies, and data lineage to enhance data governance policies and standards Configure workflows to optimize Collibra functionality for organizational needs Customize data models and integrations in Collibra to align with both reporting requirements and industry benchmarks Develop and maintain documentation that ensures compliance with regulatory mandates and internal policies regarding Collibra configurations, workflows, and processes Contribute to Agile processes and collaborate effectively with teams and stakeholders Ensure robust test automation by implementing rigorous code-level unit and integration testing practices Design resilient, maintainable solutions across multiple systems, leveraging expertise in relational and non-relational data stores Apply proficiency in multiple programming languages and development stacks to architect scalable solutions Perform effectively in fast-paced environments requiring multi-tasking across large and diverse efforts or projects Foster best practices in software engineering and continuous improvement through collaboration across teams Requirements 5+ years of specialized expertise in Collibra with capabilities such as metadata management, taxonomies, data dictionaries, and data lineage Proficiency in Agile methodologies and practices Competency in designing solutions across various systems with an ability to leverage relational and non-relational database technologies Showcase of fluent skills across multiple programming languages and development stacks Expertise in test automation with mastery in code-level unit and integration testing processes Background in configuring workflows and customizing integrations within Collibra environments Bachelor’s degree in Computer Science, Engineering, Management Information Systems, or equivalent work experience Nice to have Qualifications in Collibra certifications such as Ranger, Solution Architect, or equivalent Familiarity with advanced data governance frameworks and data management tools Understanding of complex regulatory environments and compliance standards related to Collibra

We are seeking a highly skilled and innovative Senior Software Engineer to specialize in Collibra, supporting our enterprise's data governance and management initiatives. This role requires deep expertise in Collibra's capabilities and a strong technical background, enabling the design and execution of robust solutions to meet organizational data needs. Responsibilities Support and enhance Collibra capabilities including metadata ingestion, data dictionaries, taxonomies, and data lineage to align with governance policies and standards Configure Collibra workflows to optimize operational efficiency Customize Collibra data models and integrations in alignment with reporting requirements and industry best practices Develop and maintain comprehensive documentation for Collibra configurations, processes, and workflows, ensuring regulatory and policy compliance Collaborate within Agile frameworks and deliver iterative solutions efficiently Design resilient and maintainable solutions leveraging expertise in multiple programming languages and development stacks Integrate test automation strategies, demonstrating mastery in code-level unit and integration tests Utilize both relational and non-relational data stores effectively to meet a variety of data needs Participate in large, complex projects with the ability to handle multiple tasks simultaneously Ensure scalable, future-proof designs through cross-functional collaboration and system knowledge Requirements 5+ years of experience working with Collibra, supporting metadata ingestion, taxonomies, data lineage, and data dictionaries Proficiency in configuring Collibra workflows and customizing data models and integrations Knowledge of Agile methodologies and experience contributing to Agile-driven projects Background in multiple programming languages and development stacks for creating robust solutions Expertise in test automation, including unit and integration testing practices Experience with both relational databases (e.g., SQL) and non-relational data stores Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience Capability to document technical processes and ensure compliance with industry and organizational standards Skills in managing complex, large-scale projects with the ability to prioritize tasks effectively Nice to have Showcase of Collibra certifications such as Ranger or Solution Architect Expertise in advanced Collibra features and extended functionalities Familiarity with industry-specific regulatory mandates related to data governance Understanding of modern data governance techniques and trends

As a Data Governance Consultant at KPMG in Bangalore, you will play a key role in developing and implementing data governance strategies and frameworks. Your responsibilities will include leading data quality management initiatives, managing metadata, collaborating with stakeholders on change management processes, and providing guidance on best practices to internal teams. To be successful in this role, you should have a minimum of 3 years of experience in a data governance role, with a total experience ranging from 3 to 12 years. Proficiency in data governance concepts, frameworks, and data quality management principles is essential. Experience with metadata management tools and change management processes will be beneficial. Excellent communication, stakeholder management skills, and the ability to work effectively in a cross-functional team environment are also required. KPMG offers a competitive salary package, health insurance coverage, opportunities for professional development and growth, and a dynamic and collaborative work environment. If you have a background in data governance practices and tools and are passionate about driving data quality and implementing data governance frameworks, we invite you to join our team in Bangalore. This is an Equal Opportunity Employer and we encourage candidates with a Full-Time education background in B.E/B.Tech/BCA/MBA/MCA/BBA/MBA to apply.,

Job Title: Data Steward Location: Remote Job Type: Fulltime Years of Experience 6-8 years About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Job Summary: We are seeking a Lead Data Steward to support enterprise data initiatives by ensuring the accuracy, completeness, and quality of data pipelines across data platforms. The ideal candidate will bring strong expertise in data quality practices, and data management principles to help establish trusted data foundations that drive business intelligence, analytics, and operational reporting. This role will be a critical part of our data team, to support data governance efforts, and enhance our data architecture. Key Responsibilities: Define, document, and maintain clear and consistent business definitions, data standards, and business rules for critical data elements within their assigned data domains. Ensure accurate and up-to-date business metadata (e.g., data definitions, ownership, lineage, quality rules) is captured and maintained in the enterprise data catalog. Design and maintain efficient ETL/ELT pipelines to ingest, transform, and deliver high-quality data across systems. Deploy the master data governance framework and use the supporting data management tools. Define data quality metrics and monitor data quality performance against established targets. Conduct regular data governance reviews and provide recommendations for process improvements. Ensure data accuracy, consistency, and integrity Implement and monitor data quality rules, validation checks, and exception handling. Collaborate with teams to align data delivery with business and reporting requirements. Document data processes, standards, and lineage to support governance and compliance. Transform raw, complex data into actionable insights through effective visualization techniques. Qualifications: 4+ years of experience in Data Governance, Operations of Data Governance Experience with data management tools (e.g., data catalogs, MDM systems, data quality platforms). Experience with data profiling and data quality assessment techniques. Solid understanding of data quality principles, data governance concepts, and master data management. Proficient in SQL and scripting for data transformation and troubleshooting. Experience with Data Governance tools such as Collibra Proactive problem-solver with a strong sense of ownership and accountability. Strong communication skills Bachelor’s degree in information systems, Computer Science, or a related technical field.

Title : Senior Data Architect Years of Experience : 10+ years Job Description The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments. Key responsibilities · Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns · Design logical and physical data models, semantic layers, and metadata frameworks · Establish data quality, lineage, governance, and security policies · Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks · Integrate AI and analytics solutions with operational data platforms · Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake · Lead architecture reviews, design sessions, and CoE reference architecture development Technical Skills · Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift · Data Modeling: ERWin, dbt, Power Designer · Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark · Integration: Azure Data Factory, Kafka, Event Grid, SSIS · Metadata/Lineage: Purview, Collibra, Informatica · BI Platforms: Power BI, Tableau, Looker · Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA Qualification · Bachelor’s or Master’s in Computer Science, Information Systems, or Data Engineering · Microsoft Certified: Azure Data Engineer / Azure Solutions Architect · Strong experience building cloud-native data architectures · Demonstrated ability to create data blueprints aligned with business strategy and compliance. Job Types: Full-time, Permanent Work Location: Hybrid remote in Chennai, Tamil Nadu Expected Start Date: 12/07/2025

We are hiring - Data Management Specialist About the client: Our client is a British multinational general insurance company headquartered in London, England, has major operations in the United Kingdom, Ireland, Scandinavia and Canada. It provides insurance products and services in more than 100 countries through a network of local partners Key Responsibilities: − Data Quality Management: Manage data quality frameworks and processes to ensure that data is accurate, complete, and reliable. Develop data quality dashboards and KPIs to track the health of critical data assets. − Metadata and Lineage Management: Implement systems and processes to capture and maintain comprehensive metadata and data lineage for key data assets. − Master & Reference Data Management (MDM/RDM): Support MDM/RDM strategy implementation, ensuring that master data across key business domains (e.g., customers, policies, claims) is consistent and accurate across all systems. − Collaboration with Data Teams: Collaborate with enterprise data architecture, data delivery, and business teams to ensure that data management practices are embedded throughout the data lifecycle—from data source to data consumption. Skills & Experience Required: − Strong Insurance domain knowledge. − Strong delivery experience to develop and execute roadmaps, and implementation plans. − Hands-On expertise in data quality, metadata, lineage, MDM/RDM strategies and regulatory compliance. − Familiarity with data management platforms (e.g., Purview, Collibra, Informatica) and tools − Experience with cloud data platforms (e.g., Azure) and data governance tools. − Ability to work with cross-functional teams to enforce and implement data management solutions. Interested candidates can apply by sharing their resume at techcareers@invokhr.com or apply via LinkedIn job post.

Dear Candidate, Hope you're doing well!!!! We are looking for an experienced Data Modeller Position: Data Modeller Experience: 8 Yrs to 18+ Yrs Location: Hyderabad Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements • Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification o Engineering Grad / Postgraduate CRITERIA o Proficient in relational data modeling and business analysis with metadata management experience. o Skilled in developing conceptual, logical, and physical data models for varied environments. o Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. o Experience in creating and governing data models, including financial and reference models. o Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. o Relevant Experience: 6-9 years If you are interested, kindly forward your latest CV kavita.khyata@wowjobs.biz immediately incorporating the following details: Current CTC: Expected CTC Notice period: Also, it would be greatly appreciated if you refer any of your friends having experience in the same field

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 12. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Educational Qualification: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus.

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. 10 Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 1. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) o SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Qualifications: Education: o Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

Role: Data Management Lead Work Mode: Remote Hire Type: Contract Experience & Skills: 7–9 years of experience in data management, data governance, or enterprise data architecture. Strong understanding of data governance frameworks and industry best practices. Hands-on experience with data management platforms such as Atlan, Collibra, Informatica, Talend, or similar tools. Proficient in metadata management, data lineage, and master data integration. Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and modern data architectures (e.g., data mesh, data fabric). Strong working knowledge of SQL and Power BI for data querying and reporting. Excellent problem-solving, analytical, and communication skills. Proven ability to lead cross-functional teams and manage stakeholder expectations. Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. Preferred Qualifications: Certifications such as CDMP, DGSP, or equivalent in data governance or data management. Experience in regulated industries (e.g., finance, healthcare, pharmaceuticals). Multilingual communication skills — English required; Japanese or other languages are a plus. If interested, share your resume on sadiya.mankar@leanitcorp.com

Hello Connections, Greetings from Teamware Solutions !! We are #Hiring for Top Investment Bank Position: Data Analyst Location: Mumbai Experience Range: 3 to 6 Years Notice Period: Immediate to 30 Days Must have skills: data Analyst , data catalog, Data analytics, data governance along with collibra. What You'll Do - As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following 1. Review, analyze, and resolve data quality issues across IM Data Architecture 2. Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions. 3. Coordinate the onboarding of data from various internal / external sources into the central repository. 4. Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls. 5. End-to-end analysis of business processes, data flow s, and data usage to improve business productivity through re-engineering and data governance. 6. Manage change control process and participate in user acceptance testing (UAT) activities. What Were Looking For 1. Minimum 3- 6 years experience in data analysis, data catalog & Collibra. 2. Experience in data analysis and profiling using SQL is a must 3. Knowledge in coding, Python is a plus 4. Experience in working with cataloging tools like Collibra 5. Experience working with BI reporting tools like Tableau, Power BI is preferred. Preferred Qualifications: 1. Bachelors Degree required and any other relevant academic course a plus. 2. Fluent in English Apply now : francy.s@twsol.com

Position Overview : We are seeking an experienced Data Catalog Lead to lead the implementation and ongoing development of enterprise data catalog using Collibra. This role focuses specifically on healthcare payer industry requirements, including complex regulatory compliance, member data privacy, and multi-system data integration challenges unique to health plan operations. Key Responsibilities : - Data Catalog Implementation & Development - Configure and customize Collibra workflows, data models, and governance processes to support health plan business requirements - Develop automated data discovery and cataloging processes for healthcare data assets including claims, eligibility, provider networks, and member information - Design and implement data lineage tracking across complex healthcare data ecosystems spanning core administration systems, data warehouses, and analytics platforms - Healthcare-Specific Data Governance - Build specialized data catalog structures for healthcare data domains including medical coding systems (ICD-10, CPT, HCPCS), pharmacy data (NDC codes), and provider taxonomies - Configure data classification and sensitivity tagging for PHI (Protected Health Information) and PII data elements in compliance with HIPAA requirements - Implement data retention and privacy policies within Collibra that align with healthcare regulatory requirements and member consent management - Develop metadata management processes for regulatory reporting datasets (HEDIS, Medicare Stars, MLR reporting, risk adjustment) Technical Integration & Automation : - Integrate Collibra with healthcare payer core systems including claims processing platforms, eligibility systems, provider directories, and clinical data repositories - Implement automated data quality monitoring and profiling processes that populate the data catalog with technical and business metadata - Configure Collibra's REST APIs to enable integration with existing data governance tools and business intelligence platforms Required Qualifications : - Collibra Platform Expertise - 8+ years of hands-on experience with Collibra Data Intelligence Cloud platform implementation and administration - Expert knowledge of Collibra's data catalog, data lineage, and data governance capabilities - Proficiency in Collibra workflow configuration, custom attribute development, and role-based access control setup - Experience with Collibra Connect for automated metadata harvesting and system integration - Strong understanding of Collibra's REST APIs and custom development capabilities - Healthcare Payer Industry Knowledge - 4+ years of experience working with healthcare payer/health plan data environments - Deep understanding of healthcare data types including claims (professional, institutional, pharmacy), eligibility, provider data, and member demographics - Knowledge of healthcare industry standards including HL7, X12 EDI transactions, and FHIR specifications - Familiarity with healthcare regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid managed care) - Understanding of healthcare coding systems (ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT) Technical Skills : - Strong SQL skills and experience with healthcare databases (claims databases, clinical data repositories, member systems) - Knowledge of cloud platforms (AWS, Azure, GCP) and their integration with Collibra cloud services - Understanding of data modeling principles and healthcare data warehouse design patterns Data Governance & Compliance : - Experience implementing data governance frameworks in regulated healthcare environments - Knowledge of data privacy regulations (HIPAA, state privacy laws) and their implementation in data catalog tools - Understanding of data classification, data quality management, and master data management principles - Experience with audit trail requirements and compliance reporting in healthcare organizations Preferred Qualifications : - Advanced Healthcare Experience - Experience with specific health plan core systems (such as HealthEdge, Facets, QNXT, or similar platforms) - Knowledge of Medicare Advantage, Medicaid managed care, or commercial health plan operations - Understanding of value-based care arrangements and their data requirements - Experience with clinical data integration and population health analytics Technical Certifications & Skills : - Collibra certification (Data Citizen, Data Steward, or Technical User) - Experience with additional data catalog tools (Alation, Apache Atlas, IBM Watson Knowledge Catalog) - Knowledge of data virtualization tools and their integration with data catalog platforms - Experience with healthcare interoperability standards and API management

Position Overview : We are seeking an experienced Data Catalog Lead to lead the implementation and ongoing development of enterprise data catalog using Collibra. This role focuses specifically on healthcare payer industry requirements, including complex regulatory compliance, member data privacy, and multi-system data integration challenges unique to health plan operations. Key Responsibilities : - Data Catalog Implementation & Development - Configure and customize Collibra workflows, data models, and governance processes to support health plan business requirements - Develop automated data discovery and cataloging processes for healthcare data assets including claims, eligibility, provider networks, and member information - Design and implement data lineage tracking across complex healthcare data ecosystems spanning core administration systems, data warehouses, and analytics platforms - Healthcare-Specific Data Governance - Build specialized data catalog structures for healthcare data domains including medical coding systems (ICD-10, CPT, HCPCS), pharmacy data (NDC codes), and provider taxonomies - Configure data classification and sensitivity tagging for PHI (Protected Health Information) and PII data elements in compliance with HIPAA requirements - Implement data retention and privacy policies within Collibra that align with healthcare regulatory requirements and member consent management - Develop metadata management processes for regulatory reporting datasets (HEDIS, Medicare Stars, MLR reporting, risk adjustment) Technical Integration & Automation : - Integrate Collibra with healthcare payer core systems including claims processing platforms, eligibility systems, provider directories, and clinical data repositories - Implement automated data quality monitoring and profiling processes that populate the data catalog with technical and business metadata - Configure Collibra's REST APIs to enable integration with existing data governance tools and business intelligence platforms Required Qualifications : - Collibra Platform Expertise - 8+ years of hands-on experience with Collibra Data Intelligence Cloud platform implementation and administration - Expert knowledge of Collibra's data catalog, data lineage, and data governance capabilities - Proficiency in Collibra workflow configuration, custom attribute development, and role-based access control setup - Experience with Collibra Connect for automated metadata harvesting and system integration - Strong understanding of Collibra's REST APIs and custom development capabilities - Healthcare Payer Industry Knowledge - 4+ years of experience working with healthcare payer/health plan data environments - Deep understanding of healthcare data types including claims (professional, institutional, pharmacy), eligibility, provider data, and member demographics - Knowledge of healthcare industry standards including HL7, X12 EDI transactions, and FHIR specifications - Familiarity with healthcare regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid managed care) - Understanding of healthcare coding systems (ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT) Technical Skills : - Strong SQL skills and experience with healthcare databases (claims databases, clinical data repositories, member systems) - Knowledge of cloud platforms (AWS, Azure, GCP) and their integration with Collibra cloud services - Understanding of data modeling principles and healthcare data warehouse design patterns Data Governance & Compliance : - Experience implementing data governance frameworks in regulated healthcare environments - Knowledge of data privacy regulations (HIPAA, state privacy laws) and their implementation in data catalog tools - Understanding of data classification, data quality management, and master data management principles - Experience with audit trail requirements and compliance reporting in healthcare organizations Preferred Qualifications : - Advanced Healthcare Experience - Experience with specific health plan core systems (such as HealthEdge, Facets, QNXT, or similar platforms) - Knowledge of Medicare Advantage, Medicaid managed care, or commercial health plan operations - Understanding of value-based care arrangements and their data requirements - Experience with clinical data integration and population health analytics Technical Certifications & Skills : - Collibra certification (Data Citizen, Data Steward, or Technical User) - Experience with additional data catalog tools (Alation, Apache Atlas, IBM Watson Knowledge Catalog) - Knowledge of data virtualization tools and their integration with data catalog platforms - Experience with healthcare interoperability standards and API management

Position Overview : We are seeking an experienced Data Catalog Lead to lead the implementation and ongoing development of enterprise data catalog using Collibra. This role focuses specifically on healthcare payer industry requirements, including complex regulatory compliance, member data privacy, and multi-system data integration challenges unique to health plan operations. Key Responsibilities : - Data Catalog Implementation & Development - Configure and customize Collibra workflows, data models, and governance processes to support health plan business requirements - Develop automated data discovery and cataloging processes for healthcare data assets including claims, eligibility, provider networks, and member information - Design and implement data lineage tracking across complex healthcare data ecosystems spanning core administration systems, data warehouses, and analytics platforms - Healthcare-Specific Data Governance - Build specialized data catalog structures for healthcare data domains including medical coding systems (ICD-10, CPT, HCPCS), pharmacy data (NDC codes), and provider taxonomies - Configure data classification and sensitivity tagging for PHI (Protected Health Information) and PII data elements in compliance with HIPAA requirements - Implement data retention and privacy policies within Collibra that align with healthcare regulatory requirements and member consent management - Develop metadata management processes for regulatory reporting datasets (HEDIS, Medicare Stars, MLR reporting, risk adjustment) Technical Integration & Automation : - Integrate Collibra with healthcare payer core systems including claims processing platforms, eligibility systems, provider directories, and clinical data repositories - Implement automated data quality monitoring and profiling processes that populate the data catalog with technical and business metadata - Configure Collibra's REST APIs to enable integration with existing data governance tools and business intelligence platforms Required Qualifications : - Collibra Platform Expertise - 8+ years of hands-on experience with Collibra Data Intelligence Cloud platform implementation and administration - Expert knowledge of Collibra's data catalog, data lineage, and data governance capabilities - Proficiency in Collibra workflow configuration, custom attribute development, and role-based access control setup - Experience with Collibra Connect for automated metadata harvesting and system integration - Strong understanding of Collibra's REST APIs and custom development capabilities - Healthcare Payer Industry Knowledge - 4+ years of experience working with healthcare payer/health plan data environments - Deep understanding of healthcare data types including claims (professional, institutional, pharmacy), eligibility, provider data, and member demographics - Knowledge of healthcare industry standards including HL7, X12 EDI transactions, and FHIR specifications - Familiarity with healthcare regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid managed care) - Understanding of healthcare coding systems (ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT) Technical Skills : - Strong SQL skills and experience with healthcare databases (claims databases, clinical data repositories, member systems) - Knowledge of cloud platforms (AWS, Azure, GCP) and their integration with Collibra cloud services - Understanding of data modeling principles and healthcare data warehouse design patterns Data Governance & Compliance : - Experience implementing data governance frameworks in regulated healthcare environments - Knowledge of data privacy regulations (HIPAA, state privacy laws) and their implementation in data catalog tools - Understanding of data classification, data quality management, and master data management principles - Experience with audit trail requirements and compliance reporting in healthcare organizations Preferred Qualifications : - Advanced Healthcare Experience - Experience with specific health plan core systems (such as HealthEdge, Facets, QNXT, or similar platforms) - Knowledge of Medicare Advantage, Medicaid managed care, or commercial health plan operations - Understanding of value-based care arrangements and their data requirements - Experience with clinical data integration and population health analytics Technical Certifications & Skills : - Collibra certification (Data Citizen, Data Steward, or Technical User) - Experience with additional data catalog tools (Alation, Apache Atlas, IBM Watson Knowledge Catalog) - Knowledge of data virtualization tools and their integration with data catalog platforms - Experience with healthcare interoperability standards and API management