1361 Data Governance Jobs - Page 49

Role NameBI Platform Administrator Job Posting Title BI Platform Administrator Workday Job Profile BI Platform Administrator Department Name Digital, Technology & Innovation Role GCF 4 LocationHyderabad, India Job Type Full-time ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 45 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The role is responsible for performance monitoring, maintenance, and reliable operation of BI Platforms, BI servers and database. This role involves managing BI Servers and User Admin Management for different environments, ensuring data is stored and retrieved efficiently, and safeguarding sensitive information and ensuring the uptime, performance, and security of IT infrastructure & Software maintenance. We are seeking a skilled BI Platform Administrator to manage, maintain, and optimize our enterprise Power BI and Tableau platforms . The ideal candidate will ensure seamless performance, governance, user access, platform upgrades, troubleshooting, and best practices across our BI environments. Roles & Responsibilities: Administer and maintain Power BI Service, Power BI Report Server, and Tableau Server/Online/any Cloud platforms (AWS, Azure/GCP). Preferred AWS Cloud experience. Configure, monitor, and optimize performance, capacity, and availability of BI platforms. Set up and manage user roles, permissions, and security policies. Manage BI platform upgrades, patches, and migrations. Monitor scheduled data refreshes and troubleshoot failures. Implement governance frameworks to ensure compliance with data policies. Collaborate with BI developers, data engineers, and business users for efficient platform usage. Automate routine administrative tasks using scripts (PowerShell, Python, etc.). Create and maintain documentation of configurations and operational procedures. Install, configure, and maintain BI tools on different operating systems, servers, and applications to ensure their reliability and performance Monitor Platform performance and uptime, addressing any issues that arise promptly to prevent service interruptions Implement and maintain security measures to protect Platforms from unauthorized access, vulnerabilities, and other threats Manage backup procedures and ensure data is securely backed up and recoverable in case of system failures Provide technical support to users, troubleshooting and resolving issues related to system access, performance, and software Apply operating system updates, patches, and configuration changes as necessary Maintain detailed documentation of Platform configurations, procedures, and change management Work closely with network administrators, database administrators, and other IT professionals to ensure that Platforms are integrated and functioning optimally Install, configure, and maintain database management Platforms (BI), ensuring services are reliable and perform optimally Monitor and optimize database performance, including query tuning, indexing, and resource allocation Maintain detailed documentation of Platform configurations, procedures, and policies Work closely with developers, Date Engineers, system administrators, and other IT staff to support database-related needs and ensure optimal platform performance Basic Qualifications and Experience: Over all 5+ years of experience in maintaining Administration on BI Platforms is preferred. 3+ years of experience administering Power BI Service and/or Power BI Report Server . 2+ years of experience administering Tableau Server or Tableau Cloud . Strong knowledge of Active Directory , SSO/SAML , and Role-Based Access Control (RBAC). Experience with platform monitoring and troubleshooting (Power BI Gateway logs, Tableau logs, etc.). Scripting experience (e.g., PowerShell , DAX , or Python ) for automation and monitoring. Strong understanding of data governance , row-level security , and compliance practices. Experience working with enterprise data sources (SQL Server, Snowflake, Oracle, etc.). Familiarity with capacity planning , load balancing , and scaling strategies for BI tools. Functional Skills: Should Have: Knowledge of Power BI Premium Capacity Management and Tableau Resource Management. Experience integrating BI platforms with CI/CD pipelines and DevOps tools. Hands-on experience in user adoption tracking , audit logging, and license management. Ability to conduct health checks and implement performance tuning recommendations. Understanding of multi-tenant environments or large-scale deployments . Good to Have: Experience with Power BI REST API or Tableau REST API for automation. Familiarity with AWS Services and/or AWS equivalents. Background in data visualization or report development for better user collaboration. Exposure to other BI tools (e.g., Looker, Qlik, MicroStrategy). Knowledge of ITIL practices or experience working in a ticket-based support environment. Experience in a regulated industry (finance, healthcare, etc.) with strong compliance requirements. Education & Experience : Master’s degree with 1-2+ years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 2-3+ years of experience in Business, Engineering, IT or related field OR Diploma with 5+ years of experience in Business, Engineering, IT or related field Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes . Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing. Be a key team member that assists in design and development of the data pipeline. Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks. Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions. Identify and resolve complex data-related challenges. Adhere to standard processes for coding, testing, and designing reusable code/component. Explore new tools and technologies that will help to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Collaborate and communicate effectively with product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field. Functional Skills: Must-Have Skills: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing. Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Excellent problem-solving skills and the ability to work with large, complex datasets. Strong understanding of data governance frameworks, tools, and standard methodologies. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA). Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Strong understanding of data modeling, data warehousing, and data integration concepts. Knowledge of Python/R, Databricks, SageMaker, OMOP. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Certified Data Scientist (preferred on Databricks or Cloud environments). Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred). Soft Skills: Excellent critical-thinking and problem-solving skills. Strong communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Hiring with VLink India Pvt Ltd Experience in designing and implementing business process workflows using Collibra Workflow Designer. Understanding of Collibra Data Governance Center (DGC) and its modules, including Data Catalog, Business Glossary, and Policy Manager. Experience in metadata harvesting, lineage tracking, and governance to improve data visibility. Proficiency in using Collibra REST APIs for workflow automation, data exchange, and custom integrations with other tools. Familiarity with Collibra Data Quality & Observability, setting up data quality rules and configuring DQ workflows. Familiarity with Groovy & Java for developing custom workflows and scripts within Collibra. Ability to write Python & SQL for data validation, integration scripts, and automation. Understanding of ETL processes and integrating Collibra with cloud/on-prem databases. Familiarity with data governance frameworks (e.g., GDPR, CCPA, HIPAA) and best practices. Experience in managing technical and business metadata effectively. Ability to track data lineage and assess downstream/upstream data impacts.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and application functionality. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead and mentor junior professionals Conduct regular team meetings to discuss progress and challenges Stay updated on industry trends and best practices Professional & Technical Skills: Must To Have Skills: Proficiency in Ab Initio Strong understanding of ETL processes Experience with data integration and data warehousing Knowledge of data quality and data governance principles Hands-on experience with Ab Initio GDE and EME tools Additional Information: The candidate should have a minimum of 5 years of experience in Ab Initio This position is based at our Chennai office A 15 years full time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Facilitate knowledge sharing sessions to enhance team capabilities. Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool. Strong understanding of data governance principles and practices. Experience with application design and configuration. Ability to lead cross-functional teams effectively. Familiarity with project management methodologies. Additional Information: The candidate should have minimum 7.5 years of experience in SAP Master Data Governance MDG Tool. This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. You will perform maintenance, enhancements, and development work. Your typical day will involve analyzing requirements, designing software solutions, writing code, and conducting testing to ensure the quality of the application. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with stakeholders to gather requirements and understand business needs. Design and develop software solutions using SAP Master Data Governance MDG Tool. Perform code reviews and ensure adherence to coding standards. Conduct unit testing and support integration testing activities. Troubleshoot and debug issues in the application code. Document technical specifications and user manuals. Stay updated with the latest industry trends and technologies. Mentor junior team members and provide guidance. Ensure timely delivery of software solutions. Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool. Good To Have Skills: Experience with SAP ERP systems. Strong understanding of data governance principles and best practices. Experience in data modeling and data integration. Knowledge of SAP MDG configuration and customization. Familiarity with SAP ABAP programming language. Experience in implementing data quality rules and data validation. Ability to troubleshoot and resolve technical issues. Excellent problem-solving and analytical skills. Additional Information: The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop solutions and ensure applications align with business needs. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead and mentor junior professionals Conduct regular team meetings to discuss progress and challenges Stay updated on industry trends and technologies to enhance team performance Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool Strong understanding of data governance principles Experience in data modeling and data quality management Knowledge of SAP ERP systems and integration with MDG Tool Hands-on experience in configuring and customizing MDG Tool functionalities Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Master Data Governance MDG Tool This position is based at our Hyderabad office A 15 years full-time education is required Qualification 15 years full time education

We are currently looking for a Team Lead- MDM to join us at our facility in Gurugram, Haryana. Technical Competencies: Should have hands on experience on Master data creation and maintenance (Material/Vendor/Pricing/Customer/PIRs/Source List/BOM data etc) Hands on experience on SAP toolsets in Data space including Data extraction programs from SAP, SQVIs, ETL processes, Load programs, LSMW, data quality maintenance and cleansing etc. Knowledge of Request Management tools eg: SNOW, Remedy etc Knowledge of key database concepts, data models, relationships between different types of data An understanding of end-to-end set-up and business impact of master data key fields Knowledge about SAP, S/4 HANA, SAP-MDG, Ariba , SFDC, MW (Informatica etc) or additional ERP platforms, IT tools and technologies is desirable Experience in Data Management Processes (Data Profiling & Cleansing, Workflows, Data Quality, Governance Process, relationships & dependencies with IT teams etc.), or functional knowledge in SAP MM/PP or OTC modules will be an added advantage Should have prior experience of handling a team. Primary Responsibilities/ Role Expectations: As an MDM Team Lead, the role would involve: Getting adept with MDM process and gaining knowledge by initially working on daily business requests for master data objects - creation/update/obsolete/reactivate. Responsible for holding key business stakeholder interactions for feedbacks, business requirements and to maintain data governance and data quality. Testing master data creations/updates across tools and interfaces Getting the team and the allocated region ready for future additional tasks/requirements/projects as and when needed Responsible for maintaining data governance, data quality and for data cleansing activities Mentoring the team members on topics of expertise Strong ownership focus, drive to excel & deliver Flexibility to work in shifts. Other Skills & Experience: Professional experience of 8+ years Good communication skills, stakeholder alignment, experience of interaction with end clients/ international colleagues across geographies Ability to resolve conflicts, share, collaborate and work as a leader for the allocated team.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Azure Databricks, PySpark, Core Java Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and streamline processes. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the development and implementation of new applications Conduct code reviews and ensure coding standards are met Stay updated on industry trends and best practices Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform Good To Have Skills: Experience with PySpark Strong understanding of data engineering concepts Experience in building and optimizing data pipelines Knowledge of cloud platforms like Microsoft Azure Familiarity with data governance and security practices Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform This position is based at our Bengaluru office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Reltio Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will collaborate with key stakeholders, data owners, and architects to model existing and new data, ensuring data integrity and accuracy. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and maintain data models for current and future data needs. Collaborate with business representatives to understand data requirements. Implement data modeling best practices to ensure data quality and consistency. Provide data modeling expertise and guidance to the team. Contribute to data governance initiatives and compliance efforts. Professional & Technical Skills: Must To Have Skills: Proficiency in Reltio. Strong understanding of data modeling concepts and techniques. Experience with data modeling tools and techniques. Knowledge of data governance principles and practices. Experience in data analysis and interpretation. Additional Information: The candidate should have a minimum of 3 years of experience in Reltio. This position is based at our Bengaluru office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Reltio Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will collaborate with key stakeholders, including business representatives, data owners, and architects to model existing and new data, ensuring data integrity and quality. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with business representatives to understand data requirements. Design and implement data models to meet business needs. Ensure data integrity and quality in all data modeling activities. Provide expertise in data modeling best practices. Contribute to data architecture decisions and strategies. Professional & Technical Skills: Must To Have Skills: Proficiency in Reltio. Strong understanding of data modeling concepts. Experience with data modeling tools and techniques. Knowledge of data governance principles. Familiarity with data integration and data warehousing concepts. Additional Information: The candidate should have a minimum of 3 years of experience in Reltio. This position is based at our Bengaluru office. A 15 years full time education is required. Qualification 15 years full time education

In this role, you will: Participate in conducting due diligence programs on moderately complex initiatives and deliverables within functional area and contribute to large scale planning related to functional area deliverables Provide subject matter expertise on due diligence documentation requirements and data sources Support business in execution of due diligence reporting processes and controls, interpret policies, guidelines and governance programs Review and analyze client onboarding processes and challenges that require research, investigation, evaluation, and selection of alternatives Provide subject matter expertise on documentation and data sources and exercise independent judgment to guide moderate to high risk deliverables Compile and evaluate report results and escalate when necessary Resolve moderately complex issues and lead team to meet functional area process deliverables Leverage solid understanding of the function, policies, procedures and compliance requirements Collaborate and consult with peers, colleagues, managers and internal and external customers to resolve issues and achieve goals Required Qualifications: 4+ years of Due Diligence experience, or equivalent (including risk management, client service, operations support, or business process management) demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Financial Crime Compliance Sanctions Screening (Customer & Transaction), PEP & Negative News Screening Knowledge & understanding of BSA & USA PATRIOT Act, OFAC Sanctions Programs Experience using screening tools like World Check, Lexis Nexis & Dow Jones. Ability to identify red flags and disposition alerts using a risk-based approach Eye for detail, prioritization and time management Ability to take initiative and work independently with minimal supervision Expert in Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills Proficient in customer service skills, team work and stakeholder connect Strong organizational and time management skills with the ability to manage multiple responsibilities and tasks simultaneously Experience as a QC / Maker / 4-eye reviewer Strong understand on AML model scenarios/model that involve transaction monitoring, review and investigation summary Strong ability to identify red flags, validate, research, and analyze data. Strong critical thinking & analytical skills with high attention to detail and accuracy Excellent verbal, written, and interpersonal communication skills Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Ability to develop partnerships and collaborate with team members from functional areas Ability to take on a high level of responsibility, initiative, and accountability. This is AML Investigator role where analyst is required to understand the model/rules and should be able to identify the red flags and mitigating factors. Strong investigation writing skills to be able to articulate the entire investigation in impactful manner. Investigators should be able to plan and prioritize the daily deliverable Proactive in raising potential issues or blockers to get solution in timely manner. Eagerness and ability to participate in new projects with timely delivery

Job Title: Data Architect Location: Hyderabad , Bangalore, Mumbai (Hybrid) Job Type: Contract of 1+ year Years of Experience - 5 - 9 years Job Summary: We are seeking a Data Architect with strong hands-on experience in designing and building real-time data streaming solutions using PySpark on Azure Databricks . This role requires a blend of data architecture expertise and practical engineering skills to build scalable and efficient streaming pipelines in a cloud environment. Key Responsibilities: Design and implement real-time data streaming pipelines using PySpark on Azure Databricks . Define and maintain the overall data architecture , ensuring scalability, performance, and security. Collaborate with data engineers, analysts, and business teams to understand data requirements. Optimize data workflows for performance and cost-efficiency in Azure. Ensure data quality, governance, and compliance with organizational standards. Document architectural decisions, data flows, and system design. Required Skills & Experience: 5+ years of experience in data engineering or architecture roles. Strong expertise in PySpark , especially for streaming data (Structured Streaming). Hands-on experience with Azure Databricks and related Azure data services (e.g., Event Hubs, Data Lake, Synapse). Proficiency in designing and deploying scalable data pipelines in cloud environments. Solid understanding of data modeling , ETL/ELT , and real-time data processing . Strong problem-solving skills and the ability to work independently or in a team.

Job Title: Data Analyst Experience: 8+ Years Location: Thiruvananthapuram Job Summary: We are seeking an experienced Data Analyst with a strong background in banking, regulatory reporting, and financial services. The ideal candidate should have expertise in data analysis, governance, SQL, system integration, and business intelligence. This role involves working closely with stakeholders to analyze complex business requirements, ensure data quality, and provide solutions that align with organizational goals. Core Responsibilities: Business & System Analysis: Analyze and translate complex business requirements into functional system design documents. Perform technology and system analysis, leveraging knowledge of applications, interfaces, and data structures. Facilitate and participate in design whiteboarding sessions to ensure business needs are met within SVB standards. Provide leadership and support for system production issues, change requests, and maintenance while maintaining documentation. Data Analytics & Governance: Perform data mapping, data quality checks, and data profiling to ensure accuracy and consistency. Apply advanced data analysis techniques to understand detailed data flows between and within systems. Ensure data governance best practices and compliance with regulatory standards. Banking & Regulatory Reporting Expertise: Work with Sanctions, Fraud, KYC, AML, and Payments domain data. Develop insights and reports for regulatory and compliance reporting within financial services. Ensure data accuracy in risk and compliance frameworks. SQL & Data Management: Write complex SQL queries for data extraction, transformation, and analysis. Work with relational databases and data warehouses to manage large datasets. Support ETL processes and API/Microservices-based system integrations. Systems & Implementation Support: Configure systems and develop expertise in system functionality and design. Provide expert guidance in data-related projects, including systems implementation and integration. Ensure alignment of future technology and system trends with business needs. Collaboration & Communication: Prepare and present subject matter expertise through documentation and presentations. Collaborate with cross-functional teams, including IT, finance, and regulatory teams, to define and refine data requirements. Work with remote teams to resolve production incidents quickly and efficiently. Mandatory Skills & Qualifications: 8+ years of experience in Data Analytics, Business Intelligence, or related fields. 5+ years of experience in banking and regulatory reporting domains. Bachelor's degree in Computer Science, Information Science, or related discipline (or equivalent work experience). Strong data background with expertise in data mapping, data quality, data governance, and data warehousing. Expertise in SQL for data querying, transformation, and reporting. Experience in Sanctions, Fraud, KYC, AML, and Payments domains. Strong experience with systems integration using API/Microservices/web services, ETL. Hands-on experience with SAP BODS (BusinessObjects Data Services). Experience working on systems implementation projects in the banking or financial sector. Excellent written and verbal communication skills for stakeholder interactions. Good to Have Skills & Qualifications: Knowledge of Big Data technologies (Snowflake, etc.). Familiarity with BI tools (Tableau, Power BI, Looker, etc.). Exposure to AI/ML concepts and tools for data-driven insights. Required Skills Sap Bods,Netezza,Big Data

We seek a Data Engineer/Architect Expert Level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. What will help you succeed: Fluent English (B2 - Upper Intermediate) Deep Data Architecture & Time Series Database (Timescale) expertise. Proficiency in Big Data Processing (Apache Spark). Experience with Streaming Data Technologies (KSQL, Flink). Strong knowledge of Data Governance, Security & Compliance. Hands-on experience with Snowflake and data sharing design. Hands on experience on AWS or Azure cloud along with Kafka. This job can be filled in Pune #li-hybrid Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively. At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and .

Associate Manager, D&AI BIOps ( Business Intelligence Operations) Agro & Sustainability Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Hiring, Investment Management and Risk Data Product Owner - ISS Data (Associate Director) Role The Investment and Risk & Attribution Data Product Owner role is instrumental in the creation and execution of a future state design for investment and risk data across our key business areas. The successful candidate will have an in-depth knowledge of all data domains that services Investment management, risk and attribution capabilities within the asset management industry. The role will sit within the ISS Delivery Data Analysis chapter and fully aligned to deliver cross functional ISS Data Programme in Technology, and the candidate will leverage their extensive industry knowledge to build a future state platform in collaboration with Business Architecture, Data Architecture, and business stakeholders. The role is to maintain strong relationships with the various business contacts to ensure a superior service to our clients. Key Responsibilities Leadership and Management: Lead the Investment and Risk data outcomes and capabilities for the ISS Data Programme. Realign existing resources and provide coaching and line management for junior data analysts within the chapter, influence and motivate them for high performance. Define the data product vision and strategy with end-to-end thought leadership. Lead data product documentation, enable peer-reviews, get analysis effort estimation, maintain backlog, and support end to end planning. Be a catalyst of change for improving efficiencies and innovation. Data Quality and Integrity: Define data quality use cases for all the required data sets and contribute to the technical frameworks of data quality. Align the functional solution with the best practice data architecture & engineering. Coordination and Communication: Senior management level communication to influence senior tech and business stakeholders globally, get alignment on the roadmaps. An advocate for the ISS Data Programme. Coordinate with internal and external teams to communicate with those impacted by data flows. Collaborate closely with Data Governance, Business Architecture, and Data owners etc. Conduct workshops within the scrum teams and across business teams, effectively document the minutes and drive the actions. Essential Skills Required Strong leadership and senior management level communication, internal and external client management and influencing skills. At least 15 years of proven experience as a senior business/technical/data analyst within technology and/or business change delivering data led business outcomes within the financial services/asset management industry. 5-10 years s a data product owner adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. In depth knowledge of how data vendor solutions such as Rimes, Bloomberg, MSCI, FactSet support Investment, Risk, Performance and Attribution business needs. Outstanding knowledge of data life cycle that drives Investment Management such as research, order management, trading, risk and attribution. In depth expertise in data and calculations across the investment industry covering the below. Financial data: This includes information on asset prices, market trends, economic indicators, interest rates, and other financial metrics that help in evaluating asset performance and making investment decisions. Asset-specific data: This includes data related to financial instruments reference data like asset specifications, maintenance records, usage history, and depreciation schedules. Market data: This includes data like security prices, exchange rates, index constituent and licensing restrictions on them. Risk data: This includes data related to risk factors such as market risk, credit risk, operational risk, and compliance risk. Performance & Attribution data: This includes data on fund performance returns and attribution using various methodologies like Time Weighted Returns, Transaction based performance attribution. Should possess Problem Solving, Attention to detail, Critical thinking. Technical Skills: Hands on SQL, Advanced Excel, Python, ML (optional) and knowledge of end-to-end tech solutions involving data platforms. Knowledge of data management, data governance and data engineering practices. Hands on experience on data modelling techniques like dimensional, data vault etc. Willingness to own and drive things, collaboration across business and tech stakeholders.

Roles & Responsibilities: Conduct Data Inventory exercises, Privacy Threshold Assessments, Privacy Impact Assessments, and Data Protection Impact Assessments to identify and mitigate privacy risks related to new projects, products, or services. Develop, implement, maintain, and communicate privacy policies, processes, and procedures that comply with data privacy protection laws, regulations, and industry best practices. Participating in internal design discussions to ensure data protection requirements are clearly defined early and throughout the development life cycle for new projects. Ensuring data privacy and protection obligations are met. Monitoring changes in relevant data privacy and protection laws and regulations to ensure ongoing compliance. Manage and respond to Data Subject Access Requests (DSAR) to ensure compliance with data privacy protection laws, regulations, and guidance. Work cross-functionally with employees at all levels across the firm to ensure efficient integration of the Data Privacy Program into business processes. Guide functional departments in following the process for intake, verification, processing, analysis, and answering data subjects questions and requests under the GDPR, CPRA, and other regulations. Monitor and update (as necessary) the companys data map, which includes company and third-party managed personal information Collaborate with IT, HR, Operations, and other functional teams to ensure data protection and privacy initiatives are understood and implemented. Track and monitor updates and developments to applicable data privacy laws and regulations, as necessary. Grow and develop the privacy team, including conducting training sessions to ensure all employees are aware of and comply with data privacy policies and procedures Knowledge, Skills, Other Qualifications: Bachelors in law required - Any Specialization. Strong knowledge of U.S., EU, & Indian data privacy laws and regulations and related compliance processes. Familiarity with Canadian data privacy laws and regulations and related compliance processes. Privacy certifications in at least one of the following: CDPSE, CISA, CIPM, CIPP, CISSP, CIPT. Excellent communication (both verbal and written) and interpersonal skills. Strong decision-making, critical thinking, and organizational skills. Ability to work in a cross-functional, cross-cultural matrix environment. Experience working with cybersecurity and data forensic teams, including supporting data governance initiatives and data incident management. Ability to work independently and multitask effectively in a fast-paced environment. Minimum 8-10 years of experience working as part of an internal legal and regulatory compliance function in multinational organizations. Demonstrable privacy and data protection experience is preferable , ideally gained in a services environment or a digital business.

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for? SAP SuccessFactors SAP SuccessFactors Reporting Microsoft Excel Data Analysis Structured Query Language (SQL) Written and verbal communication Ability to manage multiple stakeholders Hands-on experience with trouble-shooting Problem-solving skills Strong analytical skills People Management A collaborative and customer-focused mindset. Ability to manage multiple priorities and deadlines. Excellent communication and presentation skills. Strong attention to detail and accuracy. Experience with predictive analytics and statistical modeling techniques. Familiarity with workforce planning and compensation analysis. Knowledge of compliance standards and HR data governance. Roles and Responsibilities: Collaboration & Stakeholder Engagement:Partner with HR teams (Talent Acquisition, L&D, Compensation & Benefits) to understand their data needs.Provide training to HR staff on how to interpret and use analytics tools and reports effectively. Compliance & Data Governance:Ensure HR data reporting complies with company policies and legal regulations (e.g., GDPR, EEOC).Establish best practices for data governance, accuracy, and security. Predictive Analytics & Workforce Planning:Use statistical methods to predict workforce trends such as attrition and hiring needs.Support workforce planning and budgeting processes with data-driven insights. HR Systems Integration:Collaborate with IT, HR, and external vendors to ensure seamless data integration across HRIS, payroll, and other HR platforms.Conduct audits to ensure the accuracy and integrity of HR data. Data Visualization:Design and maintain interactive dashboards using tools like Power BI, Tableau, or Excel for HR teams and leadership.Simplify complex data into user-friendly formats for non-technical audiences. HR Metrics & KPIs:Define and monitor key HR performance indicators (KPIs) aligned with organizational goals.Identify trends, risks, and opportunities within HR metrics Data Reporting & Analysis:Collect, analyze, and interpret HR data from multiple sources (HRIS, ATS, payroll systems, etc.). Develop and maintain standardized and ad-hoc HR reports and dashboards to track metrics such as turnover, hiring, diversity, engagement, and performance. Deliver actionable insights to HR leadership and business units. Qualifications Any Graduation

Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling Data & Analytics"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of Data & Analytics potential and development of use cases that can transform business Transforming Businesses: Envisioning and Designing customized, next-generation data and analytics products and services that help clients shift to new business models designed for todays connected landscape of disruptive technologies Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing data and analytics products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & Analytics and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their Data & Analytics problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide Data & Analytics strategy for our clients that includes Data & Analytics Architecture, Data on Cloud, Data Quality, Metadata and Master Data strategy Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes Define a Data & Analytics operating model to manage data across organization . Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards Benchmark against global research benchmarks and leading industry peers to understand current & recommend Data & Analytics solutions Conduct discovery workshops and design sessions to elicit Data & Analytics opportunities and client pain areas. Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualifications Your experience counts! MBA from a tier 1 institute 3+ years of Strategy Consulting experience at a consulting firm Experience on projects showcasing skills across any two of these capabilities- Data Capability Maturity Assessment, Data & Analytics Strategy, Data Operating Model & Governance, Data on Cloud Strategy, Data Architecture Strategy Desirable to have skills in any two of these domains - Data Quality, Master Data (MDM), Metadata, data lineage, data catalog. Experience one or more technologies in the data governance space is preferred:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. Mandatory knowledge of IT concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential CDMP Certification from DAMA desirable

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Data & AI Strategy Good to have skills : SAP GRC( AC.PC,RM) Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also provide input into final decisions regarding hardware, network products, system software, and security, contributing to the technical architecture requirements. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the design and implementation of technology solutions. Provide technical guidance and expertise to project teams. Evaluate and recommend new technologies to achieve business goals. Ensure compliance with architectural standards and guidelines. Professional & Technical Skills: Must To Have Skills:Proficiency in Data & AI Strategy. Strong understanding of data analytics and artificial intelligence. Experience in developing and implementing data strategies. Knowledge of cloud computing and big data technologies. Expertise in data governance and data management. Additional Information: The candidate should have a minimum of 12 years of experience in Data & AI Strategy. This position is based at our Mumbai office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Application Architect Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Must have skills : Manufacturing Operations Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BTech BE Job Title:Industrial Data Architect Summary :We are seeking a highly skilled and experienced Industrial Data Architect with a proven track record in providing functional and/or technical expertise to plan, analyse, define and support the delivery of future functional and technical capabilities for an application or group of applications. Well versed with OT data quality, Data modelling, data governance, data contextualization, database design, and data warehousing. Must have Skills:Domain knowledge in areas of Manufacturing IT OT in one or more of the following verticals Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life ScienceKey Responsibilities: Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives. This role involves collaborating with various teams to design and implement efficient, scalable, and secure data solutions for industrial operations. Focused on designing, building, and managing the data architecture of industrial systems. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Own the offerings and assets on key components of data supply chain, data governance, curation, data quality and master data management, data integration, data replication, data virtualization. Create scalable and secure data structures, integrating with existing systems and ensuring efficient data flow. Qualifications: Data Modeling and Architecture:oProficiency in data modeling techniques (conceptual, logical, and physical models).oKnowledge of database design principles and normalization.oExperience with data architecture frameworks and methodologies (e.g., TOGAF). Database Technologies:oRelational Databases:Expertise in SQL databases such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.oNoSQL Databases:Experience with at least one of the NoSQL databases like MongoDB, Cassandra, and Couchbase for handling unstructured data.oGraph Databases:Proficiency with at least one of the graph databases such as Neo4j, Amazon Neptune, or ArangoDB. Understanding of graph data models, including property graphs and RDF (Resource Description Framework).oQuery Languages:Experience with at least one of the query languages like Cypher (Neo4j), SPARQL (RDF), or Gremlin (Apache TinkerPop). Familiarity with ontologies, RDF Schema, and OWL (Web Ontology Language). Exposure to semantic web technologies and standards. Data Integration and ETL (Extract, Transform, Load):oProficiency in ETL tools and processes (e.g., Talend, Informatica, Apache NiFi).oExperience with data integration tools and techniques to consolidate data from various sources. IoT and Industrial Data Systems:oFamiliarity with Industrial Internet of Things (IIoT) platforms and protocols (e.g., MQTT, OPC UA).oExperience with either of IoT data platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT Core.oExperience working with one or more of Streaming data platforms like Apache Kafka, Amazon Kinesis, Apache FlinkoAbility to design and implement real-time data pipelines. Familiarity with processing frameworks such as Apache Storm, Spark Streaming, or Google Cloud Dataflow.oUnderstanding of event-driven design patterns and practices. Experience with message brokers like RabbitMQ or ActiveMQ.oExposure to the edge computing platforms like AWS IoT Greengrass or Azure IoT Edge AI/ML, GenAI:oExperience working on data readiness for feeding into AI/ML/GenAI applicationsoExposure to machine learning frameworks such as TensorFlow, PyTorch, or Keras. Cloud Platforms:oExperience with cloud data services from at least one of the providers like AWS (Amazon Redshift, AWS Glue), Microsoft Azure (Azure SQL Database, Azure Data Factory), and Google Cloud Platform (BigQuery, Dataflow). Data Warehousing and BI Tools:oExpertise in data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).oProficiency with Business Intelligence (BI) tools such as Tableau, Power BI, and QlikView. Data Governance and Security:oUnderstanding of data governance principles, data quality management, and metadata management.oKnowledge of data security best practices, compliance standards (e.g., GDPR, HIPAA), and data masking techniques. Big Data Technologies:oExperience in big data platforms and tools such as Hadoop, Spark, and Apache Kafka.oUnderstanding of distributed computing and data processing frameworks. Excellent Communication:Superior written and verbal communication skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Problem-Solving Acumen:A passion for tackling intricate challenges and devising elegant solutions. Collaborative Spirit:A track record of successful collaboration with cross-functional teams and stakeholders. Certifications:AWS Certified Data Engineer Associate / Microsoft Certified:Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer certification is mandatory Minimum of 14-18 years progressive information technology experience. Qualifications BTech BE

Management Level: 09 - Senior Consultant Location: Gurgaon/Bangalore/Mumbai Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, HR Analytics, SQL, Cloud (AWS/Azure), Power BI, Tableau Good to have skills: PySpark, PyTorch, HTML5, JS, Big Data Technologies, Data Governance, Cloud Integrations Job Summary : Were on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Roles & Responsibilities: Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPI's, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Professional & Technical Skills: Overall 5+ years' experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Additional Information: PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. About Our Company | Accenture (do not remove the hyperlink) Qualifications Experience: Minimum 5 years of experience is required (with 2-3 years in People/Human Analytics) Educational Qualification: Master’s degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from a premier institute

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Salesforce Marketing Cloud Customer Data Platform Good to have skills : Salesforce Marketing Cloud Personalization, Salesforce Marketing Cloud Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve providing solutions to problems for your immediate team and across multiple teams, ensuring smooth operations and successful project delivery with a minimum of 10 Years of Domain expertise. Role & Responsibilities: The Salesforce Data Cloud Developer/ Consultant you will be responsible for designing, developing, and implementing solutions using Salesforce's Customer Data Platform - Data Cloud (CDP) This role involves leveraging customer data for effective marketing, service, intelligence, and sales activities, and other business relevant data from 1st party, 2nd party or 3rd party data sources and collaborating with stakeholders, and ensuring the organization's data management and personalization requirements are met. The Salesforce CDP Developer should have a strong technical background in Salesforce development, data integration, and data modelling, customer profiling, along with a solid understanding of marketing and customer data concepts with a minimum of 15 years experiece in Salesforce Domain. Design and develop Salesforce CDP solutions to manage customer data, including data ingestion, data modelling, segmentation, profiling, generating data insights, data actions, data transformation and personalization capabilities. Collaborate with business stakeholders to gather requirements and translate them into technical solutions that align with business objectives. Lead the client CDP project and design the project plan. Develop data integration solutions to import and synchronize customer data from various sources into the Salesforce CDP. Design and implement data models, schemas, and configurations to support data management and segmentation within the Salesforce CDP. Perform unit testing and support system testing, ensuring the quality and performance of the developed solutions. Collaborate with cross-functional teams, including marketing, sales, and IT, to understand data requirements and provide technical expertise.Required Qualification: Experience in Salesforce CDP development and configuration, including data ingestion, data modelling, customer profiling, engagement, Insight CDP, Engagement CDP, segmentation, and personalization. Strong understanding of marketing and customer data concepts, including data quality, data governance, and customer journey mapping. Experience with data integration techniques, including REST/SOAP APIs, ETL tools, and data synchronization. Knowledge of data modelling and database concepts, with hands on experience in SQL and database technologies. Strong problem-solving skills and the ability to analyze complex data requirements and translate them into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross- functional teams and stakeholders.Mandatory requirements :Deep technical skill with a minimum of 10 years domain experienceGood experience and expertise in large and complex SI programStrong client facing / presentation skillsGot good blend of Solutioning skills Qualifications 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Bachelor in Computer Science Summary :As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using Collibra Data Governance. Key Responsibilities: Knowledge of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Good communication. Design of Data Governance Organization including steering committee, data governance office, stewardship layer and other working groups. Setup people and processes including relevant roles, responsibilities and controls, data ownership, workflows and common processes. Technical Experience Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra. Experience in setting up people s roles, responsibilities and controls, data ownership, workflows and common processes. Integrate Collibra with other enterprise tools:Data Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows Develop API (REST, SOAP) to expose the metadata functionalities to the end-users.Professional Experience Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required. Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions. Partner with Data Management and integration leads to continuously improve Data Management technologies and processes. Qualification Bachelor in Computer Science