136 Data Stewardship Jobs - Page 2

As the Subject Matter Expert for Master Data (Business Partner) at Fresenius, you will be responsible for defining, managing, and optimizing the organization's master data frameworks related to business partner data. This includes ensuring the integrity, accuracy, and consistency of master data across systems by driving best practices in data management and governance. Your role will focus on regulatory compliance and operational excellence while collaborating with cross-functional teams to design scalable processes, support seamless data integration, and enable efficient decision-making through high-quality business partner data. Your tasks will include establishing and implementing governance frameworks specific to business partner master data, defining the structure, standards, and taxonomy for capturing, storing, and maintaining business partner data across enterprise applications, and collaborating with various teams to define and maintain data dictionaries, metadata, and data lineage documentation. You will also monitor and manage data quality initiatives, lead periodic data quality reviews, and maintain oversight of sensitive business partner data to ensure compliance with global regulations. Additionally, you will stay current with emerging data governance frameworks, technologies, and methodologies, recommending innovative solutions to enhance data governance effectiveness. Your role will also involve serving as a subject matter expert for business partner data, conducting gap analyses, and implementing scalable solutions for improved data quality and consistency. Qualifications for this role include a degree in Computer Science, Information Management, Life Sciences, or a related field, along with 8+ years of experience in data governance, preferably within the life sciences or pharmaceutical industries. You should have a strong familiarity with regulatory requirements such as FDA, EMA, HIPAA, and knowledge of GxP-compliant systems or similar controlled environments. Strong analytical and problem-solving skills, deep understanding of data lineage, metadata management, and data stewardship practices are also essential. Excellent communication skills will be crucial for engaging with cross-functional teams and presenting governance strategies and policies to diverse stakeholders. If you are looking to join Fresenius Digital Technology in Bangalore, India, in a full-time, permanent position within the Engineering & Technology IT sector, and meet the qualifications mentioned above, we encourage you to apply for this exciting opportunity. You can send your application to Amit Kumar at Amit.Singh1@fresenius.com. Please note that the application process will be subject to the country-specific labor laws of the legal entity.,

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Job Summary: We are seeking a highly skilled Data Governance Architect with strong expertise in defining and lead enterprise-wide Data governance strategies, design, governance architecture and experience in tools implementation like Informatica EDC/AXON, Collibra,Alation,MHUB and other leading Data Governance tool platforms. The ideal candidate will lead data quality, consistency, and accessibility across various Enterprise platforms and business units. Required Qualifications: Bachelor’s/master’s degree in information systems, Computer Science, or a related technical field. Strong knowledge of data governance, architecture techniques and methodologies and experience in data governance initiatives is must. 7 years of minimum experience in data governance architecture and implementation of Data Governance across business enterprise. Hands on experience in design and implement architectural patterns for data quality, metadata management, data lineage, data security, and master data management Strong hands-on expertise in Collibra (workflows, APIs, metadata integration, policy automation). Experience with ETL/ELT pipelines, data lineage capture, and data integration tools. Familiarity with data modeling (conceptual, logical, physical). Proficiency in SQL, Python/Java for integration and automation. Experience with SQL, back end scripting and API’s. Understanding of data governance principles and compliance practices Proficiency in working with cloud platforms (AWS, Azure, or GCP) Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools is a plus Strong analytical and problem-solving skills Excellent communication and stakeholder management abilities Roles & responsibilities: Design, develop, and maintain enterprise-wide data governance architecture frameworks and meta data models Establish data governance strategies, policies, standards, and procedures for compliance processes Conduct maturity assessments and change management efforts. Evaluate and recommend Data governance framework and tools to meet enterprise business needs. Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms (e.g., data lakes, data warehouses, operational databases). Create and manage data dictionaries, metadata repositories, and data catalogs Architect technical and business metadata workflows and govern glossary approvals and workflows Validate end to end lineage across multiple sources and targets Design and enforce rules for, classification, Access, Retention and sharing data techniques Analyze/ Define the enterprise business KPI’s and validate data governance requirements. Collaborate with Data Stewards to define technical specifications for data quality rules, validation checks and KPI’s reporting. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Ensure data compliance with relevant regulations like GDPR,HIPAA,CCPA,SOX etc. Excellent communication and ability to mentor and inspire teams.

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Overview /Objective: The Data Governance Lead will serve as a hands-on leader to drive the development and implementation of our enterprise-wide data governance framework. This role is critical to solving current data challenges, including inconsistent business rules, unclear data ownership, lack of data quality standards, fragmented business taxonomies, and absence of a centralized data catalog. The successful candidate will serve as a bridge between business and technical stakeholders to establish scalable governance practices that increase trust in data, reduce inefficiencies, and enable data-driven decision-making across the organization. Responsibilities: Governance Framework & Standards Design and implement a fit-for-purpose enterprise data governance framework. Develop and maintain policies, procedures, and standards for data governance, including data ownership, stewardship, access, and usage. Lead the rollout of role definitions for data owners and stewards across the business. Business Rules & Taxonomy Management Partner with business units to identify, standardize, and document core business rules and data definitions. Drive alignment and version control of business taxonomies, ensuring they are centrally maintained and regularly updated. Establish a governance process for creating, updating, and retiring taxonomy elements and business rules. Data Quality & Accountability Define and implement data quality dimensions (accuracy, completeness, timeliness, consistency, etc.) across key data domains. Collaborate with functional leads to establish and maintain quality rules and thresholds. Create a feedback loop to monitor data issues and ensure accountability for resolution. Data Ownership & Stewardship Lead the identification and onboarding of data owners and stewards. Facilitate training and engagement programs to support the ongoing participation of governance roles. Establish a RACI model to ensure clarity of responsibilities and decision-making authority. Metadata Management & Cataloging Lead the selection and implementation of a data catalog and metadata management solution (if not already in place). Work with technical teams to populate and maintain metadata in a centralized platform. Promote catalog adoption and usage across the enterprise. Cross-Functional Engagement Partner with data platform, engineering, analytics, legal, compliance, and business teams to embed governance in daily operations. Serve as a subject matter expert and advisor on data governance for major initiatives and projects. Qualifications: 10+ years of experience in data management, with 7+ years in Data Governance roles. Proven track record designing and operationalizing governance frameworks at scale. Strong knowledge of data quality principles, metadata management, business rules management, and metadata standards. Hands-on knowledge with data governance platforms (e.g., Collibra, Alation, Informatic) is a plus. Familiarity with Google cloud platform(GCP) Exceptional communication and stakeholder management skills. Ability to operate both strategically and tactically in a cross-functional environment.

• Greeting guests in a polite and professional manner • Taking food and beverage orders • Serving food and beverages efficiently • Ensuring tables are properly set • Coordinating with kitchen staff • Maintaining hygiene • Handling guest queries Required Candidate profile • Minimum Qualification: 10th Pass/12th Pass (Hotel Management preferred). • Prior experience in F&B service • Freshers with good communication • Pleasant personality, discipline, and teamwork spirit Perks and benefits Staff meals 3 times + Accommodation Ph: 9674790848

Min 1 year of relevant exp Basic understanding of Power BI and SQL Familiarity with data management and basic data visualisation principles Excellent Communication Skills Flexible with shifts

Responsibilities will include deliverables such as: • Working on implementing the solutions using appropriate actuarial / analytical tools & techniques • Perform and analyze projections for in-force investment assets • Analyze and provide fixes for the asset data received from various sources • Analyze interest rate scenarios , Investment expenses, carrying out Gain/Loss analysis • Calculating the funding target, analyzing the funding shortfall and calculating the minimum required contributions to balance the Assets and liabilities • Support technical documentation and help create product documents • Assist in data extraction, calculations and validation while creating & running the models • Mortality experience study analysis • Work as a core member of the actuarial team and contribute to make it a center of excellence • Assist senior members of the team in day-to-day management activities including MI reporting • Build strong relationships with US teams to identify and deliver enhancements to actuarial processes • Provide regular updates to stakeholders and discuss solutions to potential problem areas Job Description: Collibra Techno-Functional Consultant Company: Guardian Life Insurance Company Location: Chennai Job Type: Full-Time About Guardian Life Guardian Life is a leading provider of life insurance, disability income, and employee benefits. We are dedicated to delivering exceptional products and services to meet our clients' needs. Our commitment to innovation and excellence makes us a great place to grow your career. Role Overview We are seeking a highly skilled Data Stewardship with expertise in Collibra implementation as Techno-Functional to join our Data & AI team. This role focuses on ensuring data quality, integrity, and compliance while driving the implementation and optimization of Collibra solutions within our organization. Manage business relationships partnering closely with technology, Enterprise Data, Enterprise Analytics, and others to ensure an integrated approach Key Responsibilities: 1. Technical Skills Experience in Data Management including Business Analytics, Data Analytics, Data Management, Data Governance, Data Privacy, Data Lineage, Data Steward, Data Dictionary, Data Management, Data Quality. Configure workflows, metadata management, and data catalog functionalities within Collibra. Data Quality Logic Development: Proficiency in designing and implementing technical rules, validation checks, and business logic to ensure data accuracy, completeness, and consistency. Workflow Automation: Expertise in developing automated workflows using tools like Collibra, Informatica, or Alteryx to streamline data quality processes and monitoring. User Interface (UI) Design: Experience in creating intuitive and user-friendly interfaces for Collibra or similar data management tools to enhance usability and adoption by business users. Create and maintain dashboards, reports, and visualizations to support business decisions. Data Management Platform Configuration: Advanced skills in configuring Collibra's metadata and data governance modules, including customization of policies, data lineage, and collaboration features. 2. Analytical Skills Root Cause Analysis: Strong ability to use data analysis techniques to identify root causes of data quality issues and recommend actionable solutions. Business Impact Assessment: Experience in quantifying the financial and operational impact of poor data quality and demonstrating the benefits of high-quality data products and subscriptions. Cost-Benefit Analysis: Skilled in evaluating the return on investment (ROI) of curated data products and data subscriptions, including their impact on decision-making and efficiency. Data and Technical Debt Reduction: Analytical expertise in identifying and mitigating redundant, outdated, or unused datasets and technologies to optimize data environments and reduce costs. Work closely with data engineering and business intelligence teams to address data challenges. 3. Data Governance and Management Collaborate with stakeholders to define data standards, policies, and best practices. Monitor and ensure adherence to data governance and stewardship principles. Establish and maintain a data glossary and data lineage documentation. Facilitate communication between business and technical teams for data-related initiatives. Qualifications: Education: Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field. Master’s degree preferred. Experience: 5+ years of work experience in Data Strategy, management & governance, preferably in a insurance market data intensive Industry Hands-on experience with Collibra Data Governance and Collibra Data Quality tools (certifications are a plus). Proven track record of implementing and managing data governance frameworks. Skills: 1. Strong understanding of data management, metadata, data lineage, and data quality principles. 2. Hands on experience in writing and developing SQL Queries. 3. Working knowledge of Databricks is desirable 4. Experience in Data Analysis and Visualization. 5. Ability to work collaboratively across segments and cultures. 6. Effective and Structured Communication skills. Location: This position can be based in any of the following locations: Chennai For internal use only: R000107551

As a Data Steward (Development AI) at our company, you will be responsible for ensuring the integrity, quality, and consistency of data within our enterprise systems, such as ERP, CRM, and other mission-critical platforms. Your role will involve managing and harmonizing data across multiple systems, identifying duplicate records, and aligning with organizational data governance policies. By maintaining accurate data, you will contribute to business analytics, decision-making, and operational efficiency. Your core job duties will include serving as the primary point of contact for data quality and consistency, identifying and resolving duplicate or conflicting records, standardizing data formats and values, conducting data audits, collaborating with IT teams, developing data reconciliation strategies, enforcing data governance policies, documenting data workflows, and partnering with stakeholders to define data ownership. Additionally, you will work closely with business units to understand data needs, support data migration efforts, train end-users on best practices, and monitor data health using relevant tools and dashboards. To excel in this role, you should have a minimum of 3 years of related experience, with a Bachelor's degree or equivalent work experience. You should possess strong data management skills, experience with enterprise systems, and a meticulous approach to data quality. Proficiency in ERP and CRM systems, data manipulation tools, data integration tools, and excellent communication skills are essential for success in this position. Our hiring process includes an initial screening interview, two technical rounds by the US-based team, and a final evaluation round. At our company, we value innovation, excellence, client-focused mindset, integrity, responsibility, continuous learning, and collaboration. This is a unique opportunity to contribute to building the foundation of our India operations, with exposure to international teams and cutting-edge AI product innovation. If you are looking to join a global leader in AI and machine learning solutions and play a key role in shaping the culture and direction of an AI-first company, we encourage you to apply for the Data Steward position.,

The Lead IT Data Modeler plays a crucial role in developing data models and architectures that cater to present business requirements while also being scalable for future challenges. You will be responsible for providing advanced mentorship to both junior and senior data modelers, fostering a culture of continuous improvement and innovation in data management practices. Your expertise in query optimization, execution plans, and complex SQL for managing large datasets will be essential for this role. Proficiency in database systems like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server is required, along with utilizing version control systems such as Git for efficient change management. Additionally, you will integrate data engineering practices like ETL, job orchestration, and monitoring to enhance data transformation processes, ensuring robust data systems that support critical business functions. Your responsibilities will include but are not limited to: - Demonstrating proficiency in managing relational database systems like BigQuery, MySQL, PostgreSQL, Oracle, or Microsoft SQL Server. - Utilizing SQL for querying and manipulating data, including creating, modifying, and optimizing database queries. - Applying the fundamentals of data modeling, including entity-relationship diagrams (ERDs), data flow diagrams, and dimensional modeling. - Maintaining clear and up-to-date data model diagrams, schema descriptions, and metadata through strong documentation skills. - Using version control systems like Git to track changes to data models and related code. - Developing complex SQL queries, common table expressions, and optimization techniques for managing and querying large datasets. - Understanding data governance principles, data stewardship, and data cataloging. - Optimizing database and query performance through techniques like query execution plans, indexing, and caching strategies. - Mentoring junior data modelers and providing leadership in data modeling initiatives. - Designing comprehensive data architectures aligning with business needs and supporting long-term data strategies. - Designing data models covering the entire enterprise to ensure data consistency and alignment with business processes. - Leading and mentoring a team of data modelers while providing guidance, training, and oversight. - Developing and executing a strategic plan for data modeling initiatives in alignment with the organization's vision. - Performing other job-related duties that align with the organization's vision, mission, and values within your scope of practice. Qualifications: - Education: Bachelor's Degree or relevant experience. - Preferred Certification(s): Any relevant IT Certification. - Experience: 5+ years of relevant and practical experience. Special Skills: - Proficiency in designing comprehensive data models aligned with business processes. - Advanced knowledge of SQL, data warehousing, and dimensional modeling. - Skills in data governance, cataloging, and stewardship. - Experience in enterprise-level data strategy and managing complex data architectures. Soft Skills: - Visionary Leadership: Crafting scalable foundational data models for current and future business needs. - Mentorship: Providing advanced guidance to both junior and senior data modelers. - Innovation: Fostering a culture of continuous improvement in data management practices. - Strategic Communication: Articulating complex data strategies to executive stakeholders. - Change Management: Guiding teams through evolving data technologies and methodologies. - Conflict Resolution: Addressing challenges within data modeling teams and cross-functional collaborations. - Decision-Making: Influencing informed choices about data architecture and modeling approaches. - Emotional Intelligence: Understanding and managing team dynamics for optimal performance. - Negotiation: Balancing technical requirements with business needs and resource constraints. - Thought Leadership: Driving industry best practices in data modeling and architecture. Relocation Assistance Eligible: No Work Shift: [Not specified],

The OCI Data Catalog PoC Specialist will be responsible for designing, executing, and documenting a Proof of Concept (PoC) for Oracle Cloud Infrastructure (OCI) Data Catalog as part of the clients broader Data Governance strategy. You will lead the end-to-end delivery of the OCI Data Catalog PoC, including requirements gathering, solution design, configuration, and demonstration. Collaborating with client stakeholders to understand data governance objectives, data sources, and cataloguing needs will be a key aspect of your role. In this position, you will configure and integrate OCI Data Catalog with relevant data sources such as Oracle Autonomous Database, Object Storage, and on-premises databases. You will be required to develop and execute test cases to showcase metadata harvesting, data lineage, search, classification, and data stewardship features. Additionally, integrating catalog output with Marketplace application to export and automate metadata sharing will be part of your responsibilities. Documenting PoC outcomes, lessons learned, and recommendations for next steps is essential. You will also provide knowledge transfer and training to client teams on OCI Data Catalog capabilities and usage. Troubleshooting issues and liaising with Oracle support as needed during the PoC will also fall under your purview. The ideal candidate should have at least 3+ years of experience in data governance, data management, or cloud data solutions. Hands-on experience with Oracle Cloud Infrastructure (OCI), particularly OCI Data Catalog, is required. Familiarity with data catalog concepts such as metadata management, data lineage, data classification, and stewardship is necessary. Experience in integrating data catalogs with various data sources, both cloud and on-premises, is also crucial. Strong analytical, problem-solving, and communication skills are desired, along with the ability to document technical findings and present to both technical and business stakeholders.,

As a Data Quality Analyst at our company, you should have a minimum of 4 years of experience in data quality, reporting, or a related field. Your role will require strong analytical and problem-solving skills to interpret complex data sets and derive actionable insights. Proficiency in data analysis tools like SQL for data querying and Excel for advanced data manipulation is essential. Experience with visualization tools such as Tableau or Power BI will be an added advantage. Your responsibilities will include extracting data from various systems and defining data quality rules using SAP Information Steward and BODS. You will configure and maintain SAP Information Steward for tasks like data profiling, quality assessment, metadata management, and cleansing packaging creation. Defining, implementing, and managing data quality rules, validation workflows, and data scorecards across key domains like material, customer, vendor, BOM, production version, recipe, PIR, and source list will be a crucial part of your role. Supporting MDM data stewards and business units by providing visibility into data issues will also be a part of your responsibilities. Your keen attention to detail and accuracy will ensure that all reports and dashboards reflect reliable data. Excellent written and verbal communication skills are necessary to effectively convey technical information to non-technical stakeholders. You should be able to work collaboratively in a team environment while also being capable of independently managing tasks and projects with minimal supervision. A proactive attitude towards learning and staying updated on industry trends related to data privacy and reporting methodologies is highly valued. Enjoying the challenge of solving large and complicated problems will be an asset in this role. Maintaining a positive, can-do attitude is key to thriving in our dynamic work environment. Axalta, a leading company in the coatings industry, is dedicated to investing in innovative solutions that protect and enhance customer products. Operating in two segments, Performance Coatings, and Mobility Coatings, we serve various end markets across the globe. Our diverse global presence allows us to deliver solutions in over 140 countries and coat 30 million vehicles annually. We are committed to sustainability with a 2040 carbon neutrality goal and take pride in collaborating with customers to optimize their businesses and achieve their goals.,

You will have a key role in implementing and adopting the data governance framework to modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role involves utilizing cutting-edge technologies such as Generative AI, Machine Learning, and integrated data. Leveraging your domain, technical, and business process expertise, you will provide exceptional support for Amgen's data governance framework. Collaboration with business stakeholders and data analysts is essential to ensure successful implementation and adoption of the data governance framework. Working closely with the Product Owner and other Business Analysts is required to ensure operational support and excellence within the team. Responsibilities include: - Implementing the data governance and data management framework within a specific domain of expertise (Research, Development, Supply Chain, etc.). - Operationalizing the Enterprise data governance framework and aligning stakeholders with their data governance needs. - Enforcing standards and data reusability with Enterprise MDM and Reference Data. - Driving cross-functional alignment to ensure adherence to Data Governance principles. - Developing and implementing data quality frameworks and standards to ensure consistent, accurate, and reliable data. - Maintaining documentation on data definitions, standards, flows, legacy data structures, common data models, and data quality best practices for assigned domains. - Ensuring compliance with data privacy, security, and regulatory policies and collaborating with stakeholders and data stewards to address quality concerns. - Defining specifications and shaping the development of data foundations in collaboration with Technology teams and business functions. - Leading data quality initiatives to enhance data quality processes. Functional Skills: Must-Have Functional Skills: - Technical skills with knowledge of Pharma processes in a specialized domain. - Proficiency in data management, common data models, metadata management, data quality, master data management, data stewardship, and data protection. - Experience in data products development life cycle and enabling data dictionaries and business glossaries for increased data reusability and literacy. - Strong customer focus with excellent communication skills for working with internal stakeholders and external partners. - Experience with data governance frameworks such as Collibra and Alation. - Excellent problem-solving skills and attention to detail with proficiency in data analysis tools. Good-to-Have Functional Skills: - Experience with data governance councils or forums. - Familiarity with Agile software development methodologies. - 3-5 years of experience in data quality management, data governance, or related roles. Soft Skills: - Highly organized and able to work independently. - Strong analytical and assessment skills. - Effective collaboration with global, virtual teams. - Successful management of multiple priorities. - Team-oriented with a focus on achieving team goals. - Ambitious and committed to skill and career development. - Ability to build business relationships and understand end-to-end data needs. - Excellent interpersonal, presentation, and public speaking skills. - Initiative, self-motivation, attention to detail, and customer focus. Basic Qualifications: - Any Degree and 9-13 years of experience.,

Position Overview: We are seeking an experienced Data Catalog Lead to lead the implementation and continuous development of an enterprise-wide data catalog using Collibra. This role is highly focused on the healthcare payer industry, including regulatory compliance, PHI/PII protection, and integration across complex healthcare systems. Key Responsibilities: Data Catalog Implementation & Development Configure and customize Collibra workflows, data models, and governance processes to meet healthcare payer requirements. Develop automated data discovery and cataloging for assets such as claims, eligibility, provider networks, and member data. Design and implement data lineage across complex data ecosystems spanning core admin systems, data warehouses, and analytics platforms. Healthcare-Specific Data Governance Build healthcare-specific data domains in Collibra (e.g., ICD-10, CPT, HCPCS, NDC, provider taxonomies). Implement data classification, sensitivity tagging (PHI/PII), and compliance with HIPAA. Define and apply data retention and privacy policies within Collibra aligned with member consent and regulatory rules. Manage metadata for regulatory datasets (HEDIS, Medicare Stars, MLR, risk adjustment). Technical Integration & Automation Integrate Collibra with healthcare systems (claims platforms, eligibility systems, provider directories, clinical repositories). Implement automated metadata harvesting, data profiling, and quality monitoring. Configure and utilize Collibra REST APIs for integration with governance tools and BI platforms. Required Qualifications: Collibra Platform Expertise 8+ years of Collibra Data Intelligence Cloud experience (implementation and administration). Expertise in Collibra data catalog, lineage, and governance modules. Skilled in workflow configuration, custom attributes, and RBAC (Role-Based Access Control). Experience with Collibra Connect for system integration and automation. Proficiency with REST APIs and Collibra's extensibility features. Healthcare Payer Industry Knowledge 4+ years in healthcare payer or health plan environments. Strong understanding of claims data (institutional, professional, pharmacy), eligibility, provider, and member data. Familiarity with healthcare standards: HL7, X12 EDI, FHIR. Knowledge of regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid). Familiarity with coding systems: ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT. Technical Skills Proficiency in SQL and experience with healthcare databases (claims, clinical, member systems). Experience working with cloud platforms: AWS, Azure, GCP and Collibra cloud integrations. Knowledge of data modeling and healthcare data warehouse design. Data Governance & Compliance Proven experience with data governance frameworks in healthcare settings. In-depth knowledge of data privacy regulations (HIPAA, state-level laws). Expertise in data classification, quality management, and MDM principles. Experience in compliance reporting and audit trail configuration. Preferred Qualifications: Advanced Healthcare Experience Experience with payer platforms like HealthEdge, Facets, QNXT, etc. Understanding of value-based care, population health, and clinical data integration. Deep knowledge of Medicare Advantage, Medicaid, and commercial health plan operations. Certifications & Tools Collibra certifications (Data Citizen, Data Steward, Technical User) preferred. Familiarity with other catalog tools: Alation, Apache Atlas, IBM WKC. Knowledge of data virtualization and API management platforms. Understanding of interoperability standards in healthcare IT.

Position Overview: We are seeking an experienced Data Catalog Lead to lead the implementation and continuous development of an enterprise-wide data catalog using Collibra. This role is highly focused on the healthcare payer industry, including regulatory compliance, PHI/PII protection, and integration across complex healthcare systems. Key Responsibilities: Data Catalog Implementation & Development Configure and customize Collibra workflows, data models, and governance processes to meet healthcare payer requirements. Develop automated data discovery and cataloging for assets such as claims, eligibility, provider networks, and member data. Design and implement data lineage across complex data ecosystems spanning core admin systems, data warehouses, and analytics platforms. Healthcare-Specific Data Governance Build healthcare-specific data domains in Collibra (e.g., ICD-10, CPT, HCPCS, NDC, provider taxonomies). Implement data classification, sensitivity tagging (PHI/PII), and compliance with HIPAA. Define and apply data retention and privacy policies within Collibra aligned with member consent and regulatory rules. Manage metadata for regulatory datasets (HEDIS, Medicare Stars, MLR, risk adjustment). Technical Integration & Automation Integrate Collibra with healthcare systems (claims platforms, eligibility systems, provider directories, clinical repositories). Implement automated metadata harvesting, data profiling, and quality monitoring. Configure and utilize Collibra REST APIs for integration with governance tools and BI platforms. Required Qualifications: Collibra Platform Expertise 8+ years of Collibra Data Intelligence Cloud experience (implementation and administration). Expertise in Collibra data catalog, lineage, and governance modules. Skilled in workflow configuration, custom attributes, and RBAC (Role-Based Access Control). Experience with Collibra Connect for system integration and automation. Proficiency with REST APIs and Collibra's extensibility features. Healthcare Payer Industry Knowledge 4+ years in healthcare payer or health plan environments. Strong understanding of claims data (institutional, professional, pharmacy), eligibility, provider, and member data. Familiarity with healthcare standards: HL7, X12 EDI, FHIR. Knowledge of regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid). Familiarity with coding systems: ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT. Technical Skills Proficiency in SQL and experience with healthcare databases (claims, clinical, member systems). Experience working with cloud platforms: AWS, Azure, GCP and Collibra cloud integrations. Knowledge of data modeling and healthcare data warehouse design. Data Governance & Compliance Proven experience with data governance frameworks in healthcare settings. In-depth knowledge of data privacy regulations (HIPAA, state-level laws). Expertise in data classification, quality management, and MDM principles. Experience in compliance reporting and audit trail configuration. Preferred Qualifications: Advanced Healthcare Experience Experience with payer platforms like HealthEdge, Facets, QNXT, etc. Understanding of value-based care, population health, and clinical data integration. Deep knowledge of Medicare Advantage, Medicaid, and commercial health plan operations. Certifications & Tools Collibra certifications (Data Citizen, Data Steward, Technical User) preferred. Familiarity with other catalog tools: Alation, Apache Atlas, IBM WKC. Knowledge of data virtualization and API management platforms. Understanding of interoperability standards in healthcare IT.

Position Overview: We are seeking an experienced Data Catalog Lead to lead the implementation and continuous development of an enterprise-wide data catalog using Collibra. This role is highly focused on the healthcare payer industry, including regulatory compliance, PHI/PII protection, and integration across complex healthcare systems. Key Responsibilities: Data Catalog Implementation & Development Configure and customize Collibra workflows, data models, and governance processes to meet healthcare payer requirements. Develop automated data discovery and cataloging for assets such as claims, eligibility, provider networks, and member data. Design and implement data lineage across complex data ecosystems spanning core admin systems, data warehouses, and analytics platforms. Healthcare-Specific Data Governance Build healthcare-specific data domains in Collibra (e.g., ICD-10, CPT, HCPCS, NDC, provider taxonomies). Implement data classification, sensitivity tagging (PHI/PII), and compliance with HIPAA. Define and apply data retention and privacy policies within Collibra aligned with member consent and regulatory rules. Manage metadata for regulatory datasets (HEDIS, Medicare Stars, MLR, risk adjustment). Technical Integration & Automation Integrate Collibra with healthcare systems (claims platforms, eligibility systems, provider directories, clinical repositories). Implement automated metadata harvesting, data profiling, and quality monitoring. Configure and utilize Collibra REST APIs for integration with governance tools and BI platforms. Required Qualifications: Collibra Platform Expertise 8+ years of Collibra Data Intelligence Cloud experience (implementation and administration). Expertise in Collibra data catalog, lineage, and governance modules. Skilled in workflow configuration, custom attributes, and RBAC (Role-Based Access Control). Experience with Collibra Connect for system integration and automation. Proficiency with REST APIs and Collibra's extensibility features. Healthcare Payer Industry Knowledge 4+ years in healthcare payer or health plan environments. Strong understanding of claims data (institutional, professional, pharmacy), eligibility, provider, and member data. Familiarity with healthcare standards: HL7, X12 EDI, FHIR. Knowledge of regulatory requirements (HIPAA, ACA, Medicare Advantage, Medicaid). Familiarity with coding systems: ICD-10-CM/PCS, CPT, HCPCS, NDC, SNOMED CT. Technical Skills Proficiency in SQL and experience with healthcare databases (claims, clinical, member systems). Experience working with cloud platforms: AWS, Azure, GCP and Collibra cloud integrations. Knowledge of data modeling and healthcare data warehouse design. Data Governance & Compliance Proven experience with data governance frameworks in healthcare settings. In-depth knowledge of data privacy regulations (HIPAA, state-level laws). Expertise in data classification, quality management, and MDM principles. Experience in compliance reporting and audit trail configuration. Preferred Qualifications: Advanced Healthcare Experience Experience with payer platforms like HealthEdge, Facets, QNXT, etc. Understanding of value-based care, population health, and clinical data integration. Deep knowledge of Medicare Advantage, Medicaid, and commercial health plan operations. Certifications & Tools Collibra certifications (Data Citizen, Data Steward, Technical User) preferred. Familiarity with other catalog tools: Alation, Apache Atlas, IBM WKC. Knowledge of data virtualization and API management platforms. Understanding of interoperability standards in healthcare IT.

We are seeking an MDM Associate Data Steward to ensure the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, and Affiliations. This role involves actively managing and curating master data through robust stewardship processes and governance frameworks, primarily using Informatica or Reltio MDM platforms. You will perform data analysis and validation with SQL and Python to enable informed, data-driven decisions. The role emphasizes cross-functional collaboration with teams like Data Engineering, Commercial, Medical, and Compliance to align data management activities with organizational goals. Roles & Responsibilities Data Stewardship & Management: You will be responsible for master data stewardship, ensuring data accuracy and integrity. This includes conducting data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms. You'll also manage the Data Change Request (DCR) processes, reviewing and approving data updates in compliance with established procedures and SLAs. Data Analysis & Automation: Execute and optimize SQL queries for validation and analysis of master data. You will also use basic Python for data transformation, quality checks, and automation. Collaboration & Documentation: Collaborate with cross-functional teams to fulfill data requirements. You will document and maintain accurate SOPs , Data Catalogs, Playbooks, and SLAs. Quality & Compliance: Implement data governance processes, ensuring compliance with enterprise standards and policies. You will perform regular audits and monitoring to maintain high data quality and integrity. You'll also support user acceptance testing ( UAT ) and system integration tests for MDM updates. Technical Skills Direct, hands-on experience in data stewardship, data profiling, and master data management. Proficiency in SQL for data analysis and querying. Basic proficiency in Python scripting for data processing. Experience with Informatica or Reltio MDM platforms. Knowledge of data cataloging techniques and tools. Experience with PySpark and Databricks for large-scale data processing is a plus. Familiarity with AWS or other cloud-based data solutions is a plus. Understanding of regulatory compliance related to data protection ( GDPR, CCPA ) is a plus. Informatica , SQL , or cloud ( AWS/Azure ) certifications are preferred. Qualifications A Master's, Bachelor's, or Diploma in Business, Engineering, IT, or a related field. A background in the pharmaceutical, healthcare, or life sciences industries is a plus. Soft Skills Analytical Abilities: Strong analytical and problem-solving skills to assess and improve master data processes. Communication: Excellent verbal and written communication skills to convey complex data concepts to both technical and non-technical stakeholders. Collaboration: The ability to work effectively with global, virtual teams. Organization: Strong attention to detail to ensure high data quality and integrity.

We are seeking an experienced SAP MDG Consultant with a strong background in designing and developing Master Data Governance solutions. You will be responsible for implementing and configuring SAP MDG modules for various master data objects, integrating them with SAP and non-SAP systems, and working on enhancements and data replication. This role requires expertise in S/4 HANA , workflows, and a deep understanding of master data processes to deliver high-quality solutions. Roles & Responsibilities: Design and develop Master Data Governance solutions for Material, Customer, Supplier, or Finance Master data. Integrate SAP MDG with both SAP and non-SAP systems . Document master data processes using graphical tools such as Visio or PowerPoint. Work with workflows and BRF (Business Rule Framework). Perform DRF (Data Replication Framework) configuration and data model extensions. Work on enhancements, UI design, and functional specifications. Conduct data validation, profiling, cleansing, and migration. Implement and configure MDG modules and components . Manage Process Modelling, including Entity, Business Activity, Change Request types, and data transfer techniques. Work on RFPs and pre-sale activities . Be ready to work in a fast-paced environment and deliver results within aggressive timelines. Skills Required: Strong experience in SAP MDG with S/4 HANA exposure . Must have experience integrating SAP MDG with both SAP and non-SAP systems. Knowledge of Business Functions, change requests, DRF tools , and SOA . Hands-on experience in Workflows and BRF . Must have worked on DRF (Data Replication Framework) configuration. Experience on data validation, Profiling, cleansing, and migration. Experience and/or knowledge of working with SAP Data Services and Data Steward . Expert knowledge in activation and configuration of the MDG modules and components. Must have SAP ERP logistics knowledge ( SD or MM ), especially master data. Familiarity with SolMan, ChaRM, and JIRA is a plus. Excellent verbal and written communication, interpersonal, and presentation skills. QUALIFICATION: Bachelor's degree in a relevant field such as Computer Science, Information Technology, or Business Administration, or equivalent practical experience.

Embark on a transformative journey as a Data Test Lead at Barclays, where the vision is clear to redefine the future of banking and craft innovative solutions. In this role, you will be responsible for creating and enhancing the data that drives the bank's financial transactions, placing data quality at the forefront of all operations. This presents a unique opportunity to shape the organization's data usage and be a part of an exciting transformation in the banking sector. To excel as a Data Test Lead, you should have experience with a diverse range of solutions including Fraud Detection, Fraud Servicing & IDV, Application Fraud, and Consumption BI patterns. Strong Test Automation skills are essential, along with the ability to create frameworks for regression packs. Providing technical guidance and driving the Test Automation team is crucial, emphasizing proactive automation to ensure alignment with the development lifecycle. Collaborating on the DevOps agenda, configuring Jenkins/GitLab pipelines, and maturing automation capabilities through proper documentation are key responsibilities. Additional valued skills for this role include collaborating with development teams to ensure testability and quality throughout the SDLC, identifying opportunities for test optimization, and mentoring junior QA engineers on automation best practices. Effective communication skills, SQL proficiency, working knowledge of Oracle, Hadoop, Pyspark, Ab-initio, and other ETL tools, as well as experience with metadata, domain maintenance, and JIRA, are also highly advantageous. The purpose of this role is to design, develop, and execute testing strategies to validate functionality, performance, and user experience, while working closely with cross-functional teams to identify and resolve defects. The Accountabilities include developing and implementing comprehensive test plans, executing automated test scripts, analysing requirements, conducting root cause analysis, and staying informed of industry technology trends. As an Assistant Vice President, you are expected to advise and influence decision-making, contribute to policy development, and lead a team performing complex tasks with professionalism and expertise. People Leaders are also expected to demonstrate leadership behaviours that create an environment for colleagues to excel. Colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work.,

You will be responsible for hands-on design, development, deployment, and maintenance of integration processes between applications across the cloud and/or on-premise using the Dell Boomi AtomSphere platform, Cloud Integration, Application Integration, and Enterprise web services APIs. Your role will require extensive knowledge of Data Modelling in MDH using fields, as well as implementing Data Quality Steps in MDH models and understanding the existing Model structure. You will be expected to build Service Oriented and discoverable Web services and APIs, collaborating with various cross-functional teams to define and determine integration requirements. As a Boomi + MDH professional, you will be managing, monitoring, sustaining, troubleshooting, and supporting existing EAI Integrations and Dell Boomi AtomSphere platform. Providing development and technical subject matter expertise to ensure development activities are aligned with scope, schedule, priority, and business objectives will also be part of your responsibilities. Additionally, you will be responsible for establishing best practices in services development, integration of applications, and governing detailed designs, as well as monitoring and reporting on progress in completing projects and accomplishing goals. Your role will require excellent and efficient SQL query and stored procedure writing skills, along with a good understanding of cloud architecture and DevOps. You will interface with both internal and external technical experts to drive system solutions and conduct end-user interviews to understand and document data issues and define integrity requirements. Mapping dataflows across many systems with clarity and accuracy will be essential, as well as working effectively on digital and cloud projects with solid agile practices adhering to lean principles. In addition, you will provide support to resolve any production issues, with ADO SNOW experience being an added advantage. Sound knowledge of building P2P and API-based scalable Integrations in Boomi, implementation knowledge of tagging rules used to distribute the Golden records for different systems, and Data Stewardship responsibilities of managing and resolving the quarantined items, merging of duplicate errors, address data validation errors, establishing update ranking by source on the models at the field level, working knowledge of data load activities primarily required for go-live activities, and working knowledge of SQL primarily to query the databases for analysis and integration requirements in an optimized way are also expected from you.,

At American Express, the culture is built on a 175-year history of innovation, shared values, and leadership behaviors, with an unwavering commitment to support customers, communities, and colleagues. As a part of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas hold significance, your work creates an impact, and together, we will shape the future of American Express. The GMNS Data Office is dedicated to bringing critical data elements and applications under compliance with the Enterprise Data Management Operating Policy (AEMP70) and Enterprise Data Risk Management Policy (AEMP79). The team is focused on assisting American Express in leveraging the true value of data through the application of Data Management and Governance principles. As a Data Steward, you will lead the team responsible for ensuring day-to-day compliance with the Enterprise Data Risk Management Policy within their domains/business units. You will be responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing/usage requests, evaluating Data Risk Controls, and confirming remediation of Data Incidents. Collaboration with various business units, technology teams, and product/platform teams is essential to define and implement the data governance strategy, monitor and manage data risks, resolve data/platform issues, and drive consistency, usability, and governance of specific product data across the organization. Primary Responsibilities: - Advance established data governance principles, policies, and programs for stewardship, advocacy, and custodianship of data - Manage all Data Risks for the business unit in coordination with relevant supporting roles as described in the Enterprise Data Risk Management Policy - Establish, maintain, and test the effectiveness of controls to manage data risk within the established Data Risk Appetite limits for the Business Unit - Facilitate Data Incident capture and coordination, plan Data Incident remediation activities, monitor Data Incident status for reporting, and support testing and validation - Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately - Collaborate with data owners and users to modify or implement new repeatable and reliable business processes for effective data management - Partner with Third-Party Risk Management to monitor and validate Third Parties" adherence to Enterprise Data Risk Management requirements - Harmonize key policies and guidelines (e.g., Data Quality, Data Definition, Data Creation, Data Sharing, Data Usage policies) with the necessary processes in collaboration with multi-functional partners - Develop and produce key metrics scorecards and program status communications for the full suite of teams within the Data Office Qualifications: - Bachelor's degree in business, analytics, information systems, computer science, engineering, or any other data-related field. Master's Degree preferred - 8+ years of direct work experience in large-scale/enterprise data projects, with at least 4 years of direct experience in formal data governance and/or data management programs - Strong working knowledge of current and upcoming data governance, data management, and data product techniques and trends - Senior-level program management experience with global business units - Demonstrable experience in driving improvements in business value through data management and strategy - Ability to design and implement solutions for complex challenges - Excellent communication skills for delivering strategic visions and updates to large groups and senior leaders - Eagerness to test, learn, fail, and improve - Positive, collaborative leadership style with a customer-first attitude - Certification as a Data Management Professional (CDMP) or similar preferred - Experience with Collibra Data Intelligence Platform, MANTA, or similar Data Governance tools preferred - Experience in incident management, risk/data risk management, data architecture, data breach management, data classification, data quality monitoring, and data governance/compliance management preferred American Express offers competitive benefits supporting holistic well-being, including financial, physical, and mental health care, along with flexible working arrangements, parental leave policies, and access to wellness programs. Please note that an offer of employment with American Express is subject to the successful completion of a background verification check in accordance with applicable laws and regulations.,

The leading provider of comprehensive waste and environmental services in North America, Waste Management (WM), a Fortune 250 company, is strongly committed to operating excellence, professionalism, and financial strength. With a customer base of nearly 25 million in various markets, WM operates through a network of collection operations, transfer stations, landfills, recycling facilities, and waste-based energy production projects. This experienced position plays a vital role in supporting the HR Organizations reporting and analytics needs. Aligned with the HR Data Architecture team, the role involves creating the HR Organizations data architecture within the Enterprise Data Warehouse (Snowflake). Collaborating with experienced team members, this position provides input for delivering data products internally within the HR Organization and externally to the broader organization at WM. The responsibilities include analyzing and interpreting data, defining requirements for data pipelines related to HR data, identifying meaningful patterns, and documenting HR data lineage and provenance in coordination with HR Data Architects. **Essential Duties and Responsibilities:** - Monitor HR Reporting and Analytics daily tasks, troubleshoot data-related issues, and report to the Data Management Team for resolution. - Analyze requirements and translate them into technical specifications. - Manage ETL pipeline tickets, review open cases, and troubleshoot when necessary. - Create test plans and scenarios for ETL pipeline and execute testing. - Collaborate with data engineers, data architects, and business stakeholders to ensure data quality and integrity. - Design and maintain data models supporting business needs and assist with ad-hoc report requests. - Create and maintain documentation related to data models, data products, data catalogs, dataflow diagrams, and transformation diagrams. - Maintain data definitions and data catalogs. **Supervisory Responsibilities:** - No formal supervisory responsibilities. - Provide informal assistance, technical guidance, and training to coworkers. - May lead project teams or plan and supervise assignments of lower-level employees. **Qualifications:** **Education and Experience:** - Education: Any Graduate - Experience: Three (3) years of previous experience in addition to the education requirement. **Knowledge, Skills, and Abilities:** - Strong project management and organization skills - Critical thinking - Adaptability - Strong multi-tasking skills - Execution mentality - Self-starter - Excellent written and verbal communication skills - Strong analytical skills - Ability to provide efficient, timely, reliable, and courteous service to business partners - General HRIS system experience - Knowledge of HR data - Strong Microsoft product experience - Knowledge of data modeling, relationship database, data warehousing, database architecture, and SQL - Knowledge of data stewardship/governance - Strong troubleshooting and problem-solving skills - Some experience in business intelligence tools a plus (Power BI, Tableau) **Work Environment:** The job demands motor coordination, physical effort in handling objects, and exposure to occupational risks and environments. The normal setting is an office environment, and the role may require working standard and non-standard hours in emergencies. **Benefits:** WM offers a competitive total compensation package, including Medical, Dental, Vision, Life Insurance, Short Term Disability, Stock Purchase Plan, Company match on 401K, Paid Vacation, Holidays, and Personal Days. Benefits may vary by site. If you are seeking an opportunity to contribute to Waste Management's mission, please click "Apply.",

As a Data Governance AD at Talent Worx, your primary responsibility will be to assist our clients in establishing and managing data governance frameworks. This role demands a unique combination of strategic thinking and practical implementation skills to ensure data quality, integrity, and compliance across the organization's data assets. You will collaborate closely with stakeholders to develop policies, processes, and tools that govern data usage while promoting data literacy throughout the organization. Your key responsibilities will include developing and implementing data governance frameworks, policies, and procedures. You will work with cross-functional teams to devise data classification and data lifecycle management strategies. It will be essential to establish data quality metrics and monitoring processes to maintain data consistency and accuracy. Guiding data stewardship initiatives, facilitating data governance meetings, and providing training and support to ensure teams adhere to governance policies will also be part of your role. Additionally, you will monitor compliance with data governance policies and report governance metrics to key stakeholders. Staying updated on industry best practices, trends, and regulatory requirements related to data governance will be crucial. To qualify for this role, you should hold a Bachelor's degree in Information Technology, Business Administration, or a related field and have 12+ years of experience in data governance, data management, or related roles. Demonstrated experience in developing and implementing data governance frameworks, a strong understanding of data governance tools, methodologies, and best practices, familiarity with data quality concepts and data management principles, and experience in stakeholder engagement are essential. Excellent communication, presentation, and interpersonal skills, along with the ability to think critically and strategically about data governance challenges, are also required. In return, you will have the opportunity to work with one of the Big 4's in India. ,

Join Amgen's Mission of Serving Patients At Amgen, you play a significant role in making a difference. The shared mission of serving patients living with serious illnesses is at the heart of everything we do. Since 1980, Amgen has been a pioneer in the biotech world, combating some of the toughest diseases globally. Our focus on Oncology, Inflammation, General Medicine, and Rare Disease allows us to impact millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that improve and extend the lives of patients. Our culture at Amgen is recognized for its collaboration, innovation, and science-driven approach. If you thrive on challenges and the opportunities they bring, you will find a fulfilling career with us. Join us at Amgen to not only transform your career but also transform the lives of patients for the better. Senior Manager - Data Strategy & Governance In this pivotal role, your primary responsibility will be to operationalize the Enterprise Data Council vision within specific domains such as Research, Clinical Trials, Commercial, and more. You will coordinate activities at a tactical level, interpreting the Enterprise Data Council's directives, defining operational impact deliverables, and taking actions to establish solid data foundations within designated domains. Collaborating with senior leadership and other Data Governance functional leads, you will align data initiatives with business objectives. The Data Strategy and Governance Lead will set and enforce data governance policies and standards to ensure high-quality data that is easily accessible, reusable, and connects seamlessly to accelerate the development of innovative AI solutions that better serve patients. Roles & Responsibilities: - Oversee data governance and data management within a specific domain of expertise (Research, Development, Supply Chain, etc.). - Lead a team of Data Governance Specialists and Data Stewards focused on a particular domain. - Implement the Enterprise data governance framework operationally, ensuring alignment with the broader collaborator community's data governance needs, including data quality, access controls, regulatory compliance, master data management, data sharing, communication, and change management. - Collaborate with Enterprise MDM and Reference Data teams to enforce standards and promote data reusability. - Drive cross-functional alignment in designated domain(s) to uphold Data Governance principles. - Provide expert guidance on business processes and system design to support data governance and data/information modeling objectives. - Maintain documentation and serve as an expert on data definitions, standards, flows, legacy structures, common models, harmonization, etc., within assigned domains. - Ensure compliance with data privacy, security, and regulatory policies in the assigned domains. - Establish enterprise-level standards for information nomenclature, content, structure, metadata, glossaries, and taxonomies. - Partner with Technology teams, business functions, and enterprise units to define specifications that shape the development and implementation of data foundations. What we expect from you Basic Qualifications: - Masters degree with 8 to 10 years of Information Systems experience OR - Bachelors degree with 10 to 14 years of Information Systems experience, OR - Diploma with 14 to 18 years of Information Systems experience - 4 years of managerial experience directly leading people and leadership experience in managing teams, projects, or programs. - Technical proficiency with a deep understanding of Pharma processes, preferably specializing in a specific domain (e.g., Research, Clinical Trials, Commercial, etc.). - Awareness of industry trends and priorities with the ability to apply them to governance and policies. - Extensive knowledge and experience with data governance principles and technology; capable of designing and implementing Data Governance operating models to drive Amgen's transformation into a data-driven organization. - Profound understanding of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. - Experience in the development lifecycle of data products, including enabling data dictionaries and business glossaries to enhance data products" reusability and promote data literacy. Preferred Qualifications: - Collaborate on developing data foundations and products in conjunction with functions and Digital teams. - Successfully implement complex projects in a fast-paced environment and manage multiple priorities effectively. - Proficient in managing project or departmental budgets. - Familiarity with modeling tools like Visio. - Basic programming skills, experience with data visualization and data modeling tools. - Experience working with agile development methodologies such as Scaled Agile. Soft Skills: - Ability to cultivate business relationships and grasp end-to-end data usage and requirements. - Excellent interpersonal skills with a focus on teamwork. Proficient in people management within a matrix or direct line function. - Strong verbal and written communication skills. - Effective collaboration with global, virtual teams. - High level of initiative, self-motivation, and the ability to manage multiple priorities successfully. - Team-oriented mindset, dedicated to achieving team goals. - Strong presentation and public speaking abilities. - Attention to detail, commitment to quality, effective time management, and customer-centric focus. What you can expect from us At Amgen, we prioritize your professional and personal growth and well-being as we work together to develop treatments that benefit others. Our competitive benefits and collaborative culture support you at every stage of your journey. In addition to a competitive base salary, Amgen provides comprehensive Total Rewards Plans that align with local industry standards. Apply now for a career that transcends imagination. The opportunities ahead are within your reach. Join us at careers.amgen.com. Amgen's commitment to advancing science to serve patients is upheld by fostering an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and embody the Amgen values. Together, we stand united in the battle against serious diseases. Individuals with disabilities will receive reasonable accommodation to engage in the job application or interview process, perform essential job functions, and access other benefits and privileges of employment. Please contact us to request accommodation.,

You are not the person who settles for just any role. Neither are we. We are committed to creating Better Care for a Better World, which requires individuals and teams who care about making a difference. As the Data Governance Lead for Global People Organization Data, you will play a crucial role in executing the GPO data strategy by establishing Data Stewardship, Data Governance Policies, Data Audits, and guard rails. Your responsibilities will include defining and assigning data roles, adopting and monitoring a data governance framework to ensure quality, security, and compliance. In this role, you will be responsible for developing data governance policies such as creating policies regarding data classification, access, data quality standards, and data sharing procedures. You will identify key stakeholders involved in data governance, establish a governance structure, and monitor and measure effectiveness by reviewing data governance performance metrics. Additionally, you will focus on data quality by implementing processes to ensure data accuracy, completeness, consistency, and timeliness, data security, data compliance, and data lineage. Furthermore, you will establish a data stewardship council to identify ownership of specific data sets to designated data stewards who are responsible for their quality and governance. You will work closely with various stakeholders across the organization to ensure compliance with relevant data privacy regulations and industry standards. Your role will involve leading with informal authority, building consensus, influencing decision-making, conflict resolution, and achieving objectives through matrixed leadership. To succeed in this position, you should have at least 5 years of experience leading data governance, including establishing frameworks and best practices, familiarity with data privacy regulations and compliance, and demonstrable data quality monitoring and improvement. You should possess strong communication skills and the ability to communicate effectively across multiple layers of the organization. If you are passionate about driving innovation, growth, and impact, and want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development, Kimberly-Clark offers you an opportunity to be part of a team committed to making a difference. Your performance in this role will be pivotal in ensuring the success of our data governance initiatives and contributing to the overall mission of Better Care for a Better World.,

Role & responsibilities Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. Responsible for the implementation and oversight of the Company data management goals, standards, practices, process, and technologies. Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the companys principal information assets To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each teams metadata, and develop a process for working with and onboarding data domain teams. Be the point of contact for Data Governance queries, including escalation point for client concerns. Coordinate the resolution of data integrity gaps by working with the business owners and IT. Ability to work in an agile environment with an iterative approach to development. Skills and Preferred candidate profile Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database).

As part of the Data and Technology Services practice, you will be responsible for designing and implementing scalable data solutions for major global financial services clients, leveraging AWS services within Acuitys Center of Excellence framework adhering to cloud-native best practices and security standards. Global technology megatrends, regulatory developments, competitive landscape and rise of alternative data are changing the way capital markets operate. At the Data and Technology services operations, we partner with some of the largest financial services firms and corporations in this transformative journey. We are looking for professionals who are hands on, passionate about the work and have the ambition to drive disruptive changes to global business models. Desired skills and experience B.Tech \ MCA in Computer Science from reputed College\University. AWS Certified SysOps Administrator or AWS Cloud Practitioner. Strong understanding of MDM principles on data modeling, hierarchy management, survivorship, golden record creation, and data stewardship. Knowledge of monitoring and logging tools such as CloudWatch. Experience with containerization tools like Docker and Kubernetes on AWS. Expertise in transforming complex datasets into intuitive visual stories using Power BI and Tableau. Key Responsibilities Deploy and manage AWS services (EC2, S3, RDS, Lambda, VPC, Cloudwatch, etc.) to meet business needs. Design and implement scalable MDM solutions on AWS using services such as: AWS Glue for ETL and data cataloging Amazon Redshift for data warehousing Amazon S3 for data lake storage AWS Lake Formation for data governance Amazon RDS/Aurora for transactional master data storage Amazon QuickSight for reporting and visualization Develop and maintain data pipelines to ingest, cleanse, match, merge, and publish master data entities Monitor, maintain, and optimize cloud infrastructure to ensure high availability, performance and costs. Collaborate with data stewards and governance teams to define and enforce MDM policies and standards. Implement security measures and perform regular security assessments in the AWS environment. Automate cloud deployments using infrastructure as code (e.g., CloudFormation, Terraform). Experience with commercial or open-source MDM platforms (e.g., Semarchy, Informatica MDM). Collaborate with development teams to integrate AWS services into application workflows. Proficient in developing interactive dashboards and reports using Power BI and Tableau for data-driven decision-making. Assist in troubleshooting and resolving technical issues related to AWS infrastructure. Monitor backups and ensure disaster recovery readiness. Maintain documentation of AWS environments, configurations, and processes. Required Qualifications 5+ years of experience in data engineering or cloud engineering roles. 3+ years of hands-on experience working with AWS cloud services. Strong understanding of MDM concepts, data modeling, and data governance. 2+ years of experience with Windows\Linux Operating System administration. Troubleshoot OS issues on EC2 instances. Experience in shell scripting. 2+ years of experience with Databases - Relational\Non-Relational. 1+ years of experience in data visualization tools like PowerBI/Tableau Understanding of networking concepts, including VPN, VPC peering, and security groups. Experience with CI/CD pipelines and DevOps practices in AWS. Familiarity with data cataloging tools and metadata management. Good troubleshooting and problem-solving skills. Behavioral Competencies Efficiently lead client calls on a daily basis Be proactive and independent, able to work on projects with minimum inputs from senior stakeholders Evaluate and ensure quality of deliverables within defined timelines Experience of working with financial services clients Strong communication and collaboration skills.