866 Collibra Jobs - Page 23

Position Purpose As a member of WM IT DCIO team, the candidate will work on WM Data Governance workstreams as prioritized (Data Quality, Data literacy, Data Lineage/Architecture, Data Privacy by Design, Data Protection workstreams). Support WM IT DCIO team in driving the Data initiatives transversally with WM Leadership, Application Development & Maintenance (ADM), Engineering & Production (E&P), Security (CISO) teams. Support the development & testing of software / applications for Data Management. Note: DCIO complements Chief Data Office (CDO) within Wealth Management IT organization. Responsibilities Direct Responsibilities Work closely with WM IT DCIO team to execute the Data Governance Implementation across Data Initiatives e.g., RAMI (Data Retention), Data Privacy by Design, Data Quality, etc. Create and test proof-of-concept / solutions to support the strategic evolution of the software applications. Data Governance SME within Wealth Management operationally working with Data Custodian IT Officer (DCIO), DPO (Data Protection Officer), CDO (Chief Data Officer) teams. Hands-on with the development, testing, configuration, deployment of software systems in the Data Transversal organization Operationalize Data Policies / Frameworks including Business Glossaries, Data Dictionaries, Data Profiling, etc. Technical & Behavioral Competencies Minimum 7+ years of experience as: Data expertise (At least 2 of the following: Data Governance, Data Quality, Data Privacy & Protection, Data Management) Bachelors degree in Engineering (Computer science or Electronic & Communications) Qualifications: Hands-on experience in working with Data (Data Profiling, Scorecards/BI) Previously worked in Data Governance and Data Security Financial Services products and Applications knowledge Working knowledge across Excel, SQL, Python, Collibra, PowerBI, Cloud Plus: Collibra Developer or Ranger Certified or similar certification is preferred. Skills required: Knowledge about Data and Compliance / Regulatory environment( global and local Data Regulations) Demonstrates flexibility and willingness to accept assignments and challenges in rapidly changing environment. Understand how data is used (e.g., Analytics, Business Intelligence, etc.) Working knowledge on Data lifecycle, and Data Transformations / Data Lineage At least 2 of the following: Data Quality, Data Architecture, Database Management, Data Privacy & Protection, Security of data Ability to define relevant key performance indicators (KPI) Problem solving and team collaboration Self-motivated and results driven Project management and business analysis Agile thinking Transversal skills: Proficient in design new process, adaptation of Group IT processes to Wealth Management IT Strong communication to elaborate across stakeholders, and support change Minimum 7 years of experience in Data / Tech .

We are seeking an experienced and motivated Senior Data Modeler to join our team. This role will be instrumental in defining, maintaining, and evolving our organization's data architecture and modeling practices, ensuring alignment with our overall data strategy and business needs. The ideal candidate will collaborate closely with cross-functional teams, mentor others in data strategy principles, and play a key role in the development of enterprise data models and metadata management. Responsibilities Assist in the establishment and maintenance of information architecture best practices, standards, and guidelines aligned with the organization's data strategy Drive data modeling initiatives and contribute to the design and development of the overall data architecture Develop and maintain conceptual, logical, and physical data models while ensuring they align with industry standards and best practices Capture and maintain metadata within the enterprise data catalog solution to ensure accurate documentation Evaluate and review proposed data models contained in purchased or commercially available applications Guide and educate stakeholders on data strategy directives, principles, and standards to foster a strong data culture Ensure compliance with security and regulatory policies within the scope of enterprise information architecture Collaborate with business partners, IT teams, and contractors to design effective data models that meet evolving requirements Participate in and drive adherence to best practices through design reviews at different stages of the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer Science, Life Sciences, or a related field 5+ years of experience working as a Business Analyst with demonstrated expertise in business process reengineering, user requirement gathering, workshop facilitation, and change management Expertise in data modeling, including the creation of ERWin diagrams Practical experience with data analytics and SQL Proficiency in data warehousing and business intelligence practices (DWBI) Strong communication skills, including proficiency in verbal and written English Nice to have 2+ years of experience in the pharmaceutical industry, particularly within commercial IT functions Skills in agile methodologies and team coordination Familiarity with Collibra

We are searching for an experienced Senior Data Modeler to join our team and contribute to designing, maintaining, and evolving our organization’s data architecture. This role will ensure best practices, standards, and strategies are implemented across our data models while collaborating with cross-functional teams to meet organizational goals. Responsibilities Establish, maintain, and evolve information architecture best practices, guidelines, and principles in alignment with the Client's Data Strategy team Drive data modeling initiatives and support the architecture, design, and development of data systems Develop and maintain conceptual, logical, and physical data models using established data modeling guidelines Ensure data models align with relevant industry standards and adhere to best practices Capture and maintain metadata within the enterprise data catalog solution Evaluate data models in commercially available applications prior to procurement Educate and mentor team members and the broader data community on data strategy directives, principles, and standards Ensure adherence to Security and Compliance policies within the scope of Enterprise Information Architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design data models that meet requirements Define and promote compliance with best practices, conducting data design reviews throughout the development lifecycle Requirements University degree equivalent to BS/MS in Computer or Life Sciences 5+ years of experience, including a focus on Business Analysis involving business process reengineering, user requirements gathering, workshop facilitation, and change management Practical experience with Data Analytics, SQL, and DWBI tools Strong expertise in Data Modeling, including the ability to create Erwin diagrams Proficiency in communication, with excellent verbal and written English skills Nice to have 2+ years of experience in the Pharmaceutical Industry, preferably in the commercial IT function Background in Agile methodologies and team coordination efforts Familiarity with Collibra

Job Title: Data Architect Location: Hyderabad, Chennai & Bangalore Exprience: 10+ Years Job Summary We are seeking a highly experienced and strategic Data Architect to lead the design and implementation of robust data architecture solutions. The ideal candidate will have a deep understanding of data modelling, governance, integration, and analytics platforms. As a Data Architect, you will play a crucial role in shaping the data landscape across the organization, ensuring data availability, consistency, security, and quality. Mandatory Skills Enterprise data architecture and modeling Cloud data platforms (Azure, AWS, GCP) Data warehousing and lakehouse architecture Data governance and compliance frameworks ETL/ELT design and orchestration Master Data Management (MDM) Databricks architecture and implementation Key Responsibilities Lead, define, and implement end-to-end modern data platforms on public cloud using Databricks Design and manage scalable data models and storage solutions Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to define required data structures, formats, pipelines, metadata, and workload orchestration capabilities Establish data standards, governance policies, and best practices Oversee the integration of new data technologies and tools Lead the development of data pipelines, marts, and lakes Ensure data solutions are compliant with security and regulatory standards Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations Mentor data engineers and developers on best practices Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Relevant certifications in cloud platforms, data architecture, or governance Technical Skills Data Modelling: Conceptual, Logical, Physical modelling (ERwin, Power Designer, etc.) Cloud: Azure (ADF, Synapse, Databricks), AWS (Redshift, Glue), GCP (Big Query) Databases: SQL Server, Oracle, PostgreSQL, NoSQL (MongoDB, Cassandra) Data Integration: Informatica, Talend, Apache NiFi Big Data: Hadoop, Spark, Kafka Governance Tools: Collibra, Alation, Azure Purview Scripting: Python, SQL, Shell DevOps/DataOps practices and CI/CD tools Soft Skills Strong leadership and stakeholder management Excellent communication and documentation skills Strategic thinking with problem-solving ability Collaborative and adaptive in cross-functional teams Good to Have Experience in AI/ML data lifecycle support Exposure to industry data standards and frameworks (TOGAF, DAMA-DMBOK) Experience with real-time analytics and streaming data solutions Work Experience Minimum 10 years in data engineering, architecture, or related roles At least 5 years of hands-on experience in designing data platforms on Azure Demonstrated knowledge of 2 full project cycles using Databricks as an architect Experience supporting and working with cross-functional teams in a dynamic environment Advanced working SQL knowledge and experience working with relational databases and unstructured datasets Experience with stream-processing systems such as Storm, Spark-Streaming Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Retirement savings plans and tax savings plans. Work-Life Balance: Flexible work hours Key Result Areas (KRAs) Effective implementation of scalable and secure data architecture Governance and compliance adherence Standardization and optimization of data assets Enablement of self-service analytics and data democratization Key Performance Indicators (KPIs) Architecture scalability and reusability metrics Time-to-delivery for data initiatives Data quality and integrity benchmarks Compliance audit outcomes Satisfaction ratings from business stakeholders Contact: hr@bigtappanalytics.com

JOB TITLE TEAM – Data & Analytics Group (DAG) LEVEL – Sr. Associate SALIENT FEATURES – Requirements Required – Yes / No People Management No Global Stakeholder Management Yes Leadership Role for Strategic Projects spanning multiple functions/ teams Yes Global Lead / Lead for a function with concentration in India (as % of Global) > 70% No Technical expertise required (market knowledge, specific systems, regulations etc.) Yes Company Profile - Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. DEPARTMENT PROFILE Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $781 billion in assets under management or supervision as of December 31, 2020. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide. Description Of Role We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG). Key Responsibilities As part of the Data & Analytics Group (DAG) and the Head of the India DAG locally, the individual is responsible for the following – Collaborate with stakeholders across IM and Firm Data Center of Excellence to develop and deliver on the overarching data governance strategy. Coordinate the onboarding of data into the Firm Data Catalog i.e., FDC (Collibra). Implement strategy for a unified data governance platform to manage data governance. Maintain business metadata including ownership, business glossary, data quality rules, traceability, and issues workflow across the organization in FDC. Work closely with Data Owners/Owner delegates on the issue analysis and development data quality (DQ) rules. Work with IT on enhancing DQ platforms. Monitor DQ metrics and work/ follow up with Business Users on exceptions. End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance. Interact with business stakeholders to identify, prioritize, and address data-related needs and issues. Manage development of business requirements and use cases for data-related projects. Manage change control process and participate in user acceptance testing (UAT) activities. Track resolution of data issues and help stakeholders, where required with root cause and formulating corrective solution. Participate in data governance working group activities. Work on various MSIM data initiatives representing DAG as a key subject matter expert and resource on Data Governance Support other DAG initiatives like Data Onboarding and Analytics Key Skills Ability to interact with business and technology teams to understand processes and data usage. Skilled in data analysis, able to trace data from source to consumption. Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach. Strategic thinker and problem solver, ability to work through an entire issue lifecycle. Ability to prioritize and multi-task. Should be able to lead change and ensure high quality product. Strong communication skills Key Qualifications Bachelor’s Degree required and any other relevant academic course a plus. 7+ years of data management, data analytics, or data governance experience in financial services Expertise in developing data definition and business glossary, documenting data lineage, and formulating data quality rules. Experience working with BI reporting tools. Knowledge in coding, Python, Excel VBA, SQL a plus Technical understanding of data warehousing, data quality and analytics platforms Prior experience working with Collibra data governance platform/ MDM platforms preferred What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

About Xenon7 At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. Job Description We are seeking an experienced Data Modeller with strong proficiency in Collibra to support enterprise-wide data governance and metadata management initiatives. This role will focus on designing and maintaining conceptual, logical, and physical data models, aligning with business requirements, regulatory standards, and metadata standards within Collibra. You will work in a collaborative environment alongside metadata specialists, developers, and business stakeholders to ensure high-quality data architecture and governance across the enterprise landscape. Key Responsibilities Design and maintain conceptual, logical, and physical data models to support enterprise data initiatives Map business terms and definitions to technical metadata within Collibra Define and enforce data modelling standards, naming conventions, and metadata lineage structures Collaborate with Data Governance and IT teams to implement data modeling best practices Contribute to the ingestion and enrichment of metadata in Collibra, including technical lineage and business context Support migration or integration of metadata from legacy or external systems into Collibra Validate model accuracy and alignment with business rules and downstream system requirements Propose improvements and automation strategies for metadata mapping, lineage documentation, and stewardship workflows Requirements Bachelor's degree in Computer Science, Engineering, or Information Technology Proven experience as a Data Modeller or Data Architect in enterprise environments Hands-on experience with Collibra, including data domains, business glossary, and lineage mapping Strong understanding of metadata management, data governance, and data cataloging practices Solid knowledge of SQL and data warehousing principles Experience working with relational databases and cloud data platforms (e.g., Snowflake, Redshift, BigQuery, etc.) is a plus Ability to communicate with both technical and business teams to capture data requirements and translate them into models Prior experience in pharmaceutical or highly regulated industries is a plus

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Data Analyst T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Analyst , you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies. Key Responsibilities: Proficiency in Tableau for creating data visualizations, designing dashboards, and implementing data connections. Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs. Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications. Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization. Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured. Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs. Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated. Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage. Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling and database design. Apply new knowledge to improve existing processes. Develop, manage, execute, and refresh highly complex Tableau dashboards, making them accessible to business stakeholders. Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment. Carry out impromptu data analysis using Python, SQL, and basic AWS cloud skills. Must possess a fundamental understanding of AWS cloud, Python, and SQL to conduct necessary data analysis Expected to collaboratively work with fellow data analysts as a team and handle dashboards that are crucial for business stakeholders Must be competent in dealing with uncertainty and capable of devising KPIs and reports that meet industry standards. Qualifications: 6-9 years of Tableau experience K nowledge of database management systems SQL E xperience in data analysis. Hands-on Experience in Python Excellent problem-solving and analytical skills. Identifies opportunities to use advanced analytics Advanced experience with tools and services , JIRA Collibra Bitbucket/GITHUB Jupyter Notebooks U nderstanding of Financial Services Industry - IMRE (preferred) Primary Skills: Tableau SQL Python AWS understanding Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300193

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to : Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Data Analyst T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Analyst , you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies. Key Responsibilities: Proficiency in Tableau for creating data visualizations, designing dashboards, and implementing data connections. Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs. Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications. Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization. Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured. Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs. Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated. Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage. Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling and database design. Apply new knowledge to improve existing processes. Develop, manage, execute, and refresh highly complex Tableau dashboards, making them accessible to business stakeholders. Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment. Carry out impromptu data analysis using Python, SQL, and basic AWS cloud skills. Must possess a fundamental understanding of AWS cloud, Python, and SQL to conduct necessary data analysis Expected to collaboratively work with fellow data analysts as a team and handle dashboards that are crucial for business stakeholders Must be competent in dealing with uncertainty and capable of devising KPIs and reports that meet industry standards. Qualifications: 3-6 years of Tableau experience K nowledge of database management systems SQL E xperience in data analysis. Hands-on Experience in Python Excellent problem-solving and analytical skills. Identifies opportunities to use advanced analytics Advanced experience with tools and services , JIRA Collibra Bitbucket/GITHUB Jupyter Notebooks U nderstanding of Financial Services Industry - IMRE (preferred) Primary Skills : Tableau SQL Python AWS understanding Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300190

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to : Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Data Analyst T he position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Analyst , you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies. Key Responsibilities: Proficiency in Tableau for creating data visualizations, designing dashboards, and implementing data connections. Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs. Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications. Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization. Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured. Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs. Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated. Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage. Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling and database design. Apply new knowledge to improve existing processes. Develop, manage, execute, and refresh highly complex Tableau dashboards, making them accessible to business stakeholders. Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment. Carry out impromptu data analysis using Python, SQL, and basic AWS cloud skills. Must possess a fundamental understanding of AWS cloud, Python, and SQL to conduct necessary data analysis Expected to collaboratively work with fellow data analysts as a team and handle dashboards that are crucial for business stakeholders Must be competent in dealing with uncertainty and capable of devising KPIs and reports that meet industry standards. Qualifications: 3-6 years of Tableau experience K nowledge of database management systems SQL E xperience in data analysis. Hands-on Experience in Python Excellent problem-solving and analytical skills. Identifies opportunities to use advanced analytics Advanced experience with tools and services , JIRA Collibra Bitbucket/GITHUB Jupyter Notebooks U nderstanding of Financial Services Industry - IMRE (preferred) Primary Skills : Tableau SQL Python AWS understanding Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300190

Integration Specialist Collibra Must have Understanding of data governance concepts Experience with Source to Target Data Mapping Collibra Data Catalog API based integration programming knowledge Python Java Good to have Knowledge on Groovy scripts

Detailed JD *(Roles and Responsibilities) Understand the current data governance structure of the organization and draft a data governance charter and operating model with roles and responsibilities on levels of operating model. Create a glossary with terms and definitions, mapping between logical elements and physical elements, and simple and complex relations for mapping. Set up Collibra communities, domains, types, attributes, status, articulation, workflow, and customize attribution. Identify and prioritize data domains for data governance based on business value and ease of implementation. Define roles and responsibilities governing communities and assets within the Collibra environment. Recommend and implement workflows to govern metadata. Engage with client SMEs to identify key business terms from shared documents to be showcased in Collibra as part of the business glossary. Identify key attributes like definition, criticality, security classification, purpose, etc., associated with the business terms. Create templates to gather the information required about business term attributes and technical metadata. Automate the manual data demand process by configuring and implementing workflows. Create end-to-end lineage in Collibra DGC based on the analysis performed and display the lineage in visual format for business users. Document best practices and provide training to stakeholders. Mandatory skills* Collibra is the mandatory skill

Please Note - Notice Period should be 0-15 days only Understand the current data governance structure of the organization and draft a data governance charter and operating model with roles and responsibilities on levels of operating model. Create a glossary with terms and definitions, mapping between logical elements and physical elements, and simple and complex relations for mapping. Set up Collibra communities, domains, types, attributes, status, articulation, workflow, and customize attribution. Identify and prioritize data domains for data governance based on business value and ease of implementation. Define roles and responsibilities governing communities and assets within the Collibra environment. Recommend and implement workflows to govern metadata. Engage with client SMEs to identify key business terms from shared documents to be showcased in Collibra as part of the business glossary. Identify key attributes like definition, criticality, security classification, purpose, etc., associated with the business terms. Create templates to gather the information required about business term attributes and technical metadata. Automate the manual data demand process by configuring and implementing workflows. Create end-to-end lineage in Collibra DGC based on the analysis performed and display the lineage in visual format for business users. Document best practices and provide training to stakeholders.

Job Description Senior Specialist, Data and Analytics Architect THE OPPORTUNITY Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Lead an Organization driven by digital technology and data-backed approaches that supports a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be the leaders who have a passion for using data, analytics, and insights to drive decision-making, which will allow us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. AN integral part of the our company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a talented and motivated Technical Architect to join our Data and Analytics Strategy & Architecture team. Reporting to the Lead Architect, this mid-level Technical Architect role is critical in shaping the technical foundation of our cross-product architecture. The ideal candidate will focus on reference architecture, driving proofs of concept (POCs) and points of view (POVs), staying updated on industry trends, solving technical architecture issues, and enabling a robust data observability framework. The role will also emphasize enterprise data marketplaces and data catalogs to ensure data accessibility, governance, and usability. This position will also focus on creating a customer-centric development environment that is resilient and easily adoptable by various user personas. The outcome of the cross-product integration will be improved efficiency and productivity through accelerated provisioning times and a seamless user experience, eliminating the need for interacting with multiple platforms and teams. What Will You Do In The Role Collaborate with product line teams to design and implement cohesive architecture solutions that enable cross-product integration, spanning ingestion, governance, analytics, and visualization. Develop, maintain, and advocate for reusable reference architectures that align with organizational goals and industry standards. Lead technical POCs and POVs to evaluate new technologies, tools, and methodologies, providing actionable recommendations. Diagnose and resolve complex technical architecture issues, ensuring stability, scalability, and performance across platforms. Implement and maintain frameworks to monitor data quality, lineage, and reliability across data pipelines. Contribute to the design and implementation of an enterprise data marketplace to facilitate self-service data discovery, analytics, and consumption. Oversee and extend the use of Collibra or similar tools to enhance metadata management, data governance, and cataloging across the enterprise. Monitor emerging industry trends in data and analytics (e.g., AI/ML, data engineering, cloud platforms) and identify opportunities to incorporate them into our ecosystem. Work closely with data engineers, data scientists, and other architects to ensure alignment with the enterprise architecture strategy. Create and maintain technical documentation, including architecture diagrams, decision records, and POC/POV results. What Should You Have Strong experience with Databricks, Dataiku, Starburst and related data engineering/analytics platforms. Proficiency in AWS cloud platforms and AWS Data and Analytics technologies Knowledge of modern data architecture patterns like data Lakehouse, data mesh, or data fabric. Hands-on experience with Collibra or similar data catalog tools for metadata management and governance. Familiarity with data observability tools and frameworks to monitor data quality and reliability. Experience contributing to or implementing enterprise data marketplaces, including facilitating self-service data access and analytics. Exposure to designing and implementing scalable, distributed architectures. Proven experience in diagnosing and resolving technical issues in complex systems. Passion for exploring and implementing innovative tools and technologies in data and analytics. 3–5 years of total experience in data engineering, analytics, or architecture roles. Hands-on experience with developing ETL pipelines with DBT, Matillion and Airflow. Experience with data modeling, and data visualization tools (e.g., ThoughtSpot, Power BI). Strong communication and collaboration skills. Ability to work in a fast-paced, cross-functional environment. Focus on continuous learning and professional growth. Preferred Skills Certification in Databricks, Dataiku, or a major cloud platform. Experience with orchestration tools like Airflow or Prefect. Understanding of AI/ML workflows and platforms. Exposure to frameworks like Apache Spark or Kubernetes. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are intellectually curious, join us—and start making your impact today. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs Preferred Skills Job Posting End Date 07/18/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345600 Show more Show less

Entity: Technology Job Family Group: IT&S Group Job Description: Let me tell you about the role As a Senior Data Specialist will work alongside business experts to define, implement, and carry out data standards and quality. You use your expertise in petro-technical applications to effectively address data challenges and demonstrating your in-depth domain knowledge, you will ensure the integrity of data critical to safety and business operations. The role involves working with data engineers, data stewards, data analysts and scientists to optimize data workflows and enhance overall data accessibility and usability. What you will deliver Collaborate with business experts to define, implement, and enforce data standards and quality rules. Work is to be prioritised based on maintaining integrity of safety and business critical data. Applying data governance and master data management in data domain – co-developing this with the SMEs in domains such as engineering, reliability, maintenance and facilities in order to support safe and efficient operations in the business domain. Responsible for compliance with regulations, standards and codes of good practice relating to domain data, document and models management, assurance, and data protection. Monitoring, reporting and driving data quality, including raising issues either for acceptance of thresholds or required remediations Crafting, remediating and maintaining business glossaries and data definitions; working with the wider data team to ensure data is catalogued in a business accessible way Work as part of a cross-disciplinary team, collaborating with data managers, analysts, engineers, and business stakeholders. Mentor and guide junior data specialists, data stewards and data analysts. What you will need to be successful (experience and qualifications) Essential : Bachelor’s degree in a STEM area or equivalent experience Experience with Realtime facility telemetry and industrial data platforms Hands on experience in AVEVA PI portfolio including AVEVA PI Vision Experience with SCADA systems Knowledge and understanding of handling piping and instrumentation diagrams Solid understanding of oil and gas process equipment (separators, valves, heat exchanges, pumps, produced water system, glycol system, distillation) demonstrated ability in stewardship of datasets within an operating Oil & Gas organisation or asset-intensive industry Solid understanding of business work processes and ability to translate business needs into data-driven solutions. Good interpersonal skills with the ability to communicate complex data concepts to non-technical partners. Desired: Experience with Palantir Foundry Experience working with both business and technical teams, acting as a link between work process and driving value from data Familiarity with cloud data platforms (AWS, Azure, or GCP). Experience with data governance tools (e.g., Collibra, Alation, Informatica). Proficiency in SQL and ability to work with large datasets. About Bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Job Requirements Job Requirements Role/ Job Title: Senior Data Analyst Function/ Department: Data & Analytics Job Purpose Senior data Analyst (DG) will work within the Data & Analytics Office to implement data governance framework with a focus on improvement of data quality, standards, metrics, processes. Align data management practices with regulatory requirements. Understanding of lineage – How the data is produced, managed, and consumed within the Banks business process and system. Roles & Responsibilities Demonstrate Strong understanding of data governance, data quality, data lineage and metadata management concepts. Participate in the data quality governance framework design and optimization, including process, standards, rules etc. Design and implement data quality rules and Monitoring mechanism. Analyze data quality issue and collaborate with business stakeholders to address the issue resolution, Build recovery model across Enterprise. knowledge of DG technologies for data quality and metadata management (Oval edge, Talend, Collibra etc.) Support in development of Centralized Metadata repositories (Business glossary, technical metadata etc.), Captures business/Data quality rules and design DQ reports & Dashboards. Improve data literacy among the stakeholders. Minimum 6 to 12 years of experience in Data governance with Banking Domain preferable Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA) Experience: 5 to 10 years of relevant experience. Show more Show less

Job Information Date Opened 06/19/2025 Job Type Full time Work Experience 5+ years Industry IT Services City Hyderabad State/Province Telangana Country India Zip/Postal Code 500032 Job Description As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: 1. Governance Strategy & Stakeholder Alignment Develop and maintain enterprise data governance strategies, policies, and standards. Align governance with business goals: compliance, analytics, and decision-making. Collaborate across business, IT, legal, and compliance teams for role alignment. Drive governance training, awareness, and change management programs. 2. Microsoft Purview Administration & Implementation Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. Optimize Purview setup for large-scale environments (50TB+). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule scans, set classification jobs, and maintain collection hierarchies. 3. Metadata & Lineage Management Design metadata repositories and maintain business glossaries and data dictionaries. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. Ensure lineage mapping (ADF Synapse Power BI) and impact analysis. 4. Data Classification & Security Governance Define classification rules and sensitivity labels (PII, PCI, PHI). Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. Enforce records management, lifecycle policies, and information barriers. 5. Data Quality & Policy Management Define KPIs and dashboards to monitor data quality across domains. Collaborate on rule design, remediation workflows, and exception handling. Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. 6. Business Glossary & Stewardship Maintain business glossary with domain owners and stewards in Purview. Enforce approval workflows, standard naming, and steward responsibilities. Conduct metadata audits for glossary and asset documentation quality. 7. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps. Create pipelines for ingestion, lineage, glossary updates, tagging. Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. 8. Monitoring, Auditing & Compliance Set up dashboards for audit logs, compliance reporting, metadata coverage. Oversee data lifecycle management across its phases. Support internal and external audit readiness with proper documentation. Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs.Skilled in bridging technical governance with business and compliance goals. Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Information Date Opened 06/19/2025 Job Type Full time Work Experience 5+ years Industry IT Services City Hyderabad State/Province Telangana Country India Zip/Postal Code 500032 Job Description What You Will Do: As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: 1. Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. 2. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. 3. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. 4. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. 5. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. 6. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. 7. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. 8. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. 9. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits 1. Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

P2 Grade- (3+ to 5 yrs) -> CTC -> 11.50 LPA Max P3 Grade (5 to 8 yrs) CTC -> 21 LPA Max POSITION SUMMARY This role is accountable to develop, expand and optimize Data Management Architecture, Design & Implementation under Singtel Data Platform & Management 1. Design, develop and implement data governance and management solution, data quality, Privacy, protection & associated control technology solutions as per best industry practice. 2. Review, evaluate and implement Data Management standards primarily Data Classification, Data Retention across systems. 3. Design, develop and implement Automated Data Discovery rules to identify presence of PII attributes. 4. Drive development, optimization, testing and tooling to improve overall data control management (Security, Data Privacy, protection, Data Quality) 5. Review, analyze, benchmark, and approve solution design from product companies, internal teams, and vendors. 6. Ensure that proposed solutions are aligned and conformed to the data landscape, big data architecture guidelines and roadmap. KEY RESPONSIBILITIES AND RESULTS 1 Design and implement data management standards like Catalog Management, Data Quality, Data Classification, Data Retention 2 Drive BAU process, testing and tooling to improve data security, privacy, and protection 3 Identify, design, and implement internal process improvements: automating manual processes, control and optimizing data technology service delivery. 4 Implement and support Data Management Technology solution throughout lifecycle like user onboarding, upgrades, fixes, access management etc.. QUALIFICATIONS / EXPERIENCE / KNOWLEDGE REQUIRED Category Essential for this role Education and Qualifications Diploma in Data Analytics, Data Engineering, IT, Computer Science, Software Engineering, or equivalent. Work Experience • Exposure to Data Management and Big Data Concepts Knowledge and experience in Data Management, Data Integration, Data Quality products Technical Skills • Informatica CDGC, Collibra, Alatian Informatica Data Quality, Data Privacy Management Azure Data Bricks

Location: Pune, Maharashtra, India Employment Type: Permanent Work Mode: Hybrid Experience required: 5 - 7 Years Description: We are looking for a highly skilled Lead Data Quality Engineer to drive data accuracy, consistency, and integrity across our data ecosystem. The ideal candidate will be responsible for designing, implementing, and overseeing data quality frameworks, ensuring compliance with best practices, and collaborating with cross-functional teams to maintain high data standards. Required Skills SQLETL processesData integration toolsPythonData Quality toolsData Governance toolsCloud platformsBig Data technologiesProblem-solving skillsCommunication skills Responsibilities Develop and implement data quality frameworks, policies, and best practices to enhance data governance and integrity. Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues. Implement automated and manual data validation techniques to ensure completeness, consistency, and accuracy. Ensure adherence to data governance principles, regulatory requirements, and industry standards. Work closely with data engineering teams to maintain and enhance data pipelines with embedded quality checks. Develop automated data quality tests, monitoring dashboards, and alerts using SQL, Python, or other data tools. Partner with data engineers, analysts, and business teams to establish quality metrics and ensure alignment on data quality objectives. Track and report data quality KPIs, create dashboards, and provide insights to leadership. Qualifications 7+ years of experience in data quality, data governance, or data engineering roles, with at least 2 years in a leadership capacity. Strong expertise in SQL for data querying, validation, and analysis. Experience with ETL processes, data pipelines, and data integration tools (Airflow, Talend, Informatica, DBT, etc.). Proficiency in Python, PySpark, or other scripting languages for data automation. Hands-on experience with Data Quality and Governance tools (Collibra, Alation, Talend DQ, Great Expectations, etc.). Knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures. Familiarity with Big Data technologies (Spark, Snowflake, Databricks, etc.) is a plus. Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Ability to lead and mentor a team of data engineers or analysts. Detail-oriented with a proactive approach to data quality management. Experience in regulated industries (finance, healthcare, etc.) with data compliance knowledge (GDPR, HIPAA, etc.) is preferred. Exposure to machine learning data quality frameworks is a plus. Data certification (e.g., CDMP, Collibra Ranger, or similar) is a plus. Preferred Qualifications Experience in regulated industries (finance, healthcare, etc.) with data compliance knowledge (GDPR, HIPAA, etc.) is preferred. Exposure to machine learning data quality frameworks is a plus. Data certification (e.g., CDMP, Collibra Ranger, or similar) is a plus. Job Type: Permanent Pay: ₹447,558.25 - ₹1,200,000.00 per year Work Location: In person Speak with the employer +91 8122359328 Application Deadline: 21/06/2025 Expected Start Date: 24/06/2025

Role & responsibilities Developing technical specifications, processes, and documentation to produce the required Collibra deliverables. • Troubleshooting and resolving Collibra data, system, and performance issues • Realizing Product owners vision into robust technical solutions. • Participate in the development of BPMN Workflows using Eclipse Java Integrated Development Environment (IDE) • Using API’s and JAVA classes and scripting for BPMN Workflow development • Developing application interface workflows using Groovy scripting in conjunction with the out of the box Collibra REST API’s Ensure the programme components adhere to regulatory requirements, Data Management Organization, Line of Business and Group policies and standards and minimize general risk to the Group. • Support a culture of common definitions and single dictionary to contribute to enhanced operational efficiency by incorporating use of best practices, methodologies into change management processes. • Reduce ambiguity of data capture, resulting in improvements to consistent and standardized data.

We are seeking a highly skilled Data Architect with deep expertise in Snowflake and modern ETL frameworks, particularly dbt and Coalesce. The ideal candidate will be well-versed in scripting languages, relational and non-relational databases, and cloud-native data architectures. Experience in the retail domain is highly advantageous and will help accelerate success in this role. Key Responsibilities Design and implement scalable data architecture solutions using Snowflake. Lead the development and optimization of ETL/ELT pipelines using dbt and Coalesce. Define and enforce best practices for data modeling, transformation, and orchestration. Work closely with cross-functional teams to understand data needs and deliver efficient solutions. Promote data quality, security, and governance across all data systems. Provide architectural direction and mentorship to data engineering : Proven architect-level experience with Snowflake. Extensive hands-on experience with dbt and Coalesce for ETL/ELT workflows. Proficiency in scripting languages such as SQL, Python, and Shell scripting. Strong working knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and non-relational databases (e.g., MongoDB, Cassandra). Solid understanding of modern data warehousing, data lakes, and cloud-native architectures. Experience with version control tools (e.g., Git) and CI/CD pipelines for data projects. Excellent communication and stakeholder collaboration to Have : Prior experience in the retail industry or exposure to retail data environments (e.g., POS, supply chain, customer analytics). Familiarity with orchestration tools such as Airflow or Prefect. Experience with data cataloging and lineage tools (e.g., Alation, Collibra, Monte Carlo) (ref:hirist.tech) Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. This position is part of the Colleague Experience Group (CEG) Data Governance & Management function and reports to the Director, Colleague Data Governance & Management. Colleague Data Governance & Management team is responsible for managing various aspects of colleague data such as Data Stewardship, Meta data management, Data Quality, Data validation, Data Democratization, policies & procedures for data governance & consumption, usage etc. The successful candidate will be responsible for: The Manager, Colleague Data Activation will be responsible for overseeing the implementation of various American Express Management Policies corresponding to Data Governance and Management (such as AEMP 70, AEMP 79 etc.) within the business unit. The Manager will be responsible for: Partnering with Enterprise teams in implementing data governance and management program within Colleague Experience Group. Partnering with Enterprise Data Governance Organization in understanding & implementing prescribed policies & procedures to undertake federated data management activities within the Business Unit to bring data under governance. Partnering with EDG Organization in understanding various tools & templates used to bring the data under governance and communicating those within the Colleague Data Office. Execution of data activation activities and processes to bring data under governance (e.g., critical data element prioritization, data mapping, identifying data management roles, documenting data, and classifying systems). Partnering with Control Management & Global Privacy Organizations in understanding the Controls and Privacy aspects and implement the applicable controls within the Business Unit in partnership with Colleague Data Office As necessary, partner with colleagues within Colleague Data Office to review and oversee the enterprise scorecard for the aggregated data quality results of the Data Quality Controls for critical data Minimum Qualifications Minimum of 5 years of experience in leading and implementing Data Governance & Management practices at G-SIBs (Global Systematically Important Banks) Consistent track record of understanding business challenges and strategies and connecting those to data and capabilities Strong working knowledge of current and upcoming data governance, data management techniques and trends, with a point of view on the evolving concepts and standard methodologies Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and related metrics to monitor compliance of Data Governance policy and standards within the BU Prior experience implementing Data Management / Data Governance programs, preferably at the Enterprise / BU level Basic experience / knowledge of Data Governance / Data Management tools (e.g., Collibra) Ability to collaborate, influence, and communicate across multiple stakeholders and levels of leadership, speaking at the appropriate level of detail to both business executives and technology Excellent communication skills with a demonstrated ability to engage, influence, and encourage partners and stakeholders to drive collaboration and alignment High degree of organization, individual initiative, results and solution oriented, and personal accountability and resiliency Proven track record of driving results in a fast-paced environment often with significant ambiguity and needing to make decisions with less than perfect information Must have a positive, collaborative leadership style with colleague and customer first approach with hands-on attitude Preferred Qualifications Good understanding of Human Resources (Colleague) Data would be a plus Good understanding of Data Management practices at a G-SIB would be considered a great value addition Hands on experience and/or knowledge with Oracle Fusion product would be considered an advantage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about! We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft alluring and powerful images, videos, and apps, and transform how companies harmonize with customers across every screen. We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new insights can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Use your expertise in data science engineering to drive the next stage of growth at Adobe. The Customer Analytics & GTM team is focused on using the power of data to deliver optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial personality. Come join us for a truly exciting career, best benefits and outstanding work life balance. What You Will Do Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools. Develop analytical, personalization capabilities using pioneering technologies by bringing to bear Adobe tools. Build LLM agents to optimize and automate data pipelines following the best engineering practices. Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Innovative solutions to help broader organization take significant actions fast and efficiently. Chip into data engineering and data science frameworks, tools, and processes. Implement outstanding data operations and implement standard methodologies to use resources in an optimum way. Architect data ingestion, data transformation, data consumption, data governance frameworks. Help build production grade ML models and integration with operational systems. This is a high visibility role for a team which is on a critical mission to stop software privacy. A lot of collaboration with global multi-functional operations teams is required to onboard the customers to use genuine software. Work in a collaborative environment and contribute to the team as well as organization’s success. What You Will Need Bachelor’s degree in computer science or equivalent. Master’s degree or equivalent experience is preferred. 5-8 years of consistent track record as a data engineer. At least 2+ years of demonstrable experience and proven track record with Mobile data ecosystem is a must. App Store Optimization (ASO), 3rd Party systems like Branch, Revenue Cat, Google and Apple APIs etc. building data pipelines for In App purchases, Paywall impressions and tracking, App crashes etc. 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc. 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc. 2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc. Outstanding SQL experience. Ability to write optimized SQLs across platforms. Proven hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data. Experience working as an architect to design large scale distributed data platforms. Experience with CI/CD tools i.e., GitHub, Jenkins etc. Working experience with Open- source orchestration tools i.e., Apache Air Flow/ Azkaban etc. Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily. Hands-on work experience with Elastic Stack (Elastic, Logstash, Kibana) and Graph Databases (neo4j, Neptune etc.) is highly desired. Work experience with ML algorithms & frameworks i.e., Keras, Tensor Flow, PyTorch, XGBoost, Linear Regression, Classification, Random Forest, Clustering, mlFlow etc. Nice to have Showcase your work if you are an open - source contributor. Passion to contribute to Open-source community is highly valued. Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc. Familiarity with Adobe tools like Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, Adobe Journey Optimizer is a plus. Experience with LLM Models/ Agentic workflows using Copilot, Claude, LLAMA, Databricks Genie etc. is highly preferred. Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Role & responsibilities Preferred candidate profile Required qualifications to be successful in this role Minimum of 4+years of experience in managing, configuring, and supporting Collibra or similar data governance tools. Strong on any data governance tool - Informatica MDM/IDC, Axon , Collibra etc and Support Experience in data governance, data management, and metadata management. 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.

EXL Decision Analytics EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 51,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia, and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Roles and Responsibilities for Sr Business Analyst - Data Governance Work with Customer’s onshore team collaboratively to support following initiatives: Interface with business stakeholders, understand their data and analytics needs, establish requirement with technical stakeholders and align on delivery plan. Understand various data sources around asset classes, portfolio, historical performances, market trends etc. and Develop/enhance data documentation. Help deliver data-driven analysis and recommendations that effectively influence business decisions. Extract data, perform data cleansing / data quality checking tasks, prepare data quality reports, and model ready data. Synthesize different sources of data into a single source while conducting data quality checks, applying relevant filters etc. Develop Power BI dashboards to define procedures/metrics for reporting data quality. Respond to data issues, triage and follow up with different stakeholders for successful resolution. Maintain a data dictionary that defines key data elements and their meanings. Build and maintain reports with KPIs related to data quality. Assist with metadata tagging and implementation of metadata practices. Consolidate existing data quality reports and streamline the process for updating them. Work with team to manage intake and triage process Candidate Profile Over 5 years of experience in data analytics, governance, and business analysis Strong understanding of data analytics and ability to derive actionable insights Skilled in developing strategic project roadmaps and aligning data initiatives with business goals Proactive in proposing suggestions and providing regular project updates to stakeholders Capable of writing SQL and Python code to troubleshoot and resolve data quality issues Hands-on experience with data governance frameworks; Collibra knowledge helpful but not mandatory. Strong comprehension of metadata strategies and real-world use cases Excellent communication skills and ability to work across business and technical teams Familiar with technology stack: SQL, Snowflake, Power BI Experience with IceDQ (a plus) Understanding of investment fundamentals is a valuable asset Detail-oriented, self-motivated, and adept at cross-functional collaboration What We Offer EXL Analytics offers an exciting, fast paced, and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants. You can expect to learn several aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth. Analytics requires different skill sets at various levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics set the stage for further growth and development in our company and beyond. "EOE/Minorities/Females/Vets/Disabilities" Show more Show less