119 Metadata Management Jobs - Page 2

Position Purpose The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data. The scope is CIB EMEA and CIB ASIA Responsibilities Direct Responsibilities Engage with key business stakeholders to assist with establishing fundamental data governance processes Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects. Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy Allows people to step logically through the Information System (be able to train them to use tools like Abacus) Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings. Skill Area Expected Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Data Modelling (Business Flows of Data in Abacus) Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards. Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Data Standards (Rules defined to manage/ maintain Data) Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach. Metadata Management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets. Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date. The objective is to manage own learning and contribute to domain knowledge building Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. Contributing Responsibilities It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment. The Data Architect needs to have the knowledge of: The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles The activities Global Market and/or Global Banking Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022) Skill Area Expected Data Communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Able to create basic visuals and presentations. Data Governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Understands what data governance is required and contribute to these data governance. Data Innovation Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes Aware of opportunities for innovation with new tools and uses of data Technical & Behavioral Competencies 1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 2. Able to create basic visuals and presentations. 3. Experience in working with Enterprise Tools for Data Cataloging and Data Management (like Abacus, collibra, Alation, etc) 4. Experience in working with BI Tools (Like Power BI) 5. Good understanding of Excel (formulas and Functions) Specific Qualifications (if required) Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA Skills Referential Behavioural Skills : (Please select up to 4 skills) Communication skills - oral & written Ability to collaborate / Teamwork Ability to deliver / Results driven Creativity & Innovation / Problem solving Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to understand, explain and support change Ability to develop and adapt a process Ability to anticipate business / strategic evolution Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 10 years Other/Specific Qualifications (if required) 1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred 2. DAMA Certified (Good to have)

Position Purpose The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data. The scope is CIB EMEA and CIB ASIA Responsibilities Direct Responsibilities Engage with key business stakeholders to assist with establishing fundamental data governance processes Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects. Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy Allows people to step logically through the Information System (be able to train them to use tools like Abacus) Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings. Skill Area Expected Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Data Modelling (Business Flows of Data in Abacus) Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards. Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Data Standards (Rules defined to manage/ maintain Data) Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach. Metadata Management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets. Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date. The objective is to manage own learning and contribute to domain knowledge building Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. Contributing Responsibilities It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment. The Data Architect needs to have the knowledge of: The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles The activities Global Market and/or Global Banking Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022) Skill Area Expected Data Communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Able to create basic visuals and presentations. Data Governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Understands what data governance is required and contribute to these data governance. Data Innovation Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes Aware of opportunities for innovation with new tools and uses of data Technical & Behavioral Competencies 1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 2. Able to create basic visuals and presentations. 3. Experience in working with Enterprise Tools (like Abacus, informatica, big data, collibra, etc) 4. Experience in working with BI Tools (Like Power BI) 5. Good understanding of Excel (formulas and Functions) Specific Qualifications (if required) Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA Skills Referential Behavioural Skills : (Please select up to 4 skills) Communication skills - oral & written Ability to collaborate / Teamwork Ability to deliver / Results driven Creativity & Innovation / Problem solving Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to understand, explain and support change Ability to develop and adapt a process Ability to anticipate business / strategic evolution Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Other/Specific Qualifications (if required) 1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred 2. DAMA Certified.

Job Role: Global Data Governance and Quality Lead Job Location: Hyderabad Work Mode: (work from office) Shift Timings : 2 PM to 11 PM Job Overview This role will lead and deliver the implementation and institutionalization of Data Governance and Master Data Management (MDM) platform along with the complimentary processes, across the whole global firm. This initiative is one of the foundational fixes around underlying data management that the Global Data Strategy & Architecture team is addressing to drive standardization and simplification of data creation, management and usage at Clifford Chance. The role will oversee an external delivery team to achieve target outcomes on time and on budget. Who you will work with : You will work closely with data management teams, business stakeholders, IT professionals & delivery partners to deliver on the Program objectives. What you will do and be responsible for Project Scoping and Planning Develop a multi-year project and budget plan for the execution of the Data Governance and Master Data Management (MDM) priorities, aligning approach with the broader Global Data Strategy & Architecture team Establish positive relationships with a large network of cross-functional and leadership stakeholders to drive engagement, buy-in and collaborative working arrangements to support delivery of target outcomes Work with the Global Head of Data Strategy & Architecture to select the technology platforms and external delivery partner to support the project Project Delivery Provide day-to-day oversight of selected external delivery partner, leading on target outcomes: Single source of truth for firms master data Standardized and managed taxonomies across the firm Clearly defined linkages and relationships between master and taxonomy data Clearly defined categories of firm’s data that is owned and managed by nominated individuals Governance approach to changes to master data Approach to maximised automated data capture to minimize manual entry and defects, and implementation Implementation of selected MDM platform Embedded behavioural change in the firm around use of data Work closely with the ERP/CGP Data Governance Lead to ensure that the guidance and support to these programmes to establish and maintain data standards, policies, and processes is in line with the firm-wide approach. Project Management and Stakeholder Management To own the plan for the delivery of project outcomes, managing project and technical interdependencies and a large network of cross-functional and leadership stakeholders to deliver and embed project outputs into BAU, e.g. business units, Technology, Legal and Compliance. To continuously ensure that operational and technical outcome of the projects aligns with the expected strategic and business outcomes of the overall Global Data Strategy & Architecture program

Exp- 4-7yrs Skillset- IDMC (preferably) or any other DG tool, SQL, ETL Location- Gurgaon (Preferred), Bangalore, Pune, NP- URGENT Work with Customers onshore team collaboratively to support following initiatives: Interface with business stakeholders, understand their data and analytics needs, establish requirement with technical stakeholders and align on delivery plan. Understand various data sources around asset classes, portfolio, historical performances, market trends etc. and Develop/enhance data documentation. Help deliver data-driven analysis and recommendations that effectively influence business decisions. Extract data, perform data cleansing / data quality checking tasks, prepare data quality reports, and model ready data. Candidate Profile: Over 4 years of experience in data analytics, governance, and business analysis Strong understanding of data analytics and ability to derive actionable insights Skilled in developing strategic project roadmaps and aligning data initiatives with business goals Proactive in proposing suggestions and providing regular project updates to stakeholders Hands-on experience with data governance frameworks; Collibra knowledge helpful but not mandatory. Strong comprehension of metadata strategies and real-world use cases Excellent communication skills and ability to work across business and technical teams Familiar with technology stack: SQL, Snowflake, Power BI Experience with IceDQ (a plus) Understanding of investment fundamentals is a valuable asset Detail-oriented, self-motivated, and adept at cross-functional collaboration

Job Summary / Objective Act as a strategic advisor and engagement lead, providing executive oversight and direction for the clients OCC-driven data remediation initiatives Ensure alignment of data management and governance and quality improvement strategies with regulatory requirements and business objectives, Key Responsibilities / Duties Define and communicate the strategic vision for data governance remediation to client executives, Guide the client in modernizing data architecture, risk aggregation, and regulatory reporting processes, Advise on development and enforcement of enterprise-wide data policies, standards, and controls, Support executive and Board-level reporting and engagement with OCC or other regulators, Lead efforts to foster a culture of data accountability and continuous improvement within the client organization, Required Skill Sets & Requirements Enterprise Data Analysis and Management: Extensive experience designing and implementing data analysis and management programs in large financial institutions, Strong understanding of data quality metrics, master data management, and metadata management, Regulatory & Risk Management: Experience in Operational risk domains including but not limited to Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk, third party risk, Processing risk, Services and Enterprise ops risk, Regulatory management reporting and financial statement reporting risk, Responsibilities include requirements gathering, data acquisition, data quality assessment, and building risk monitoring tools Deep knowledge of regulatory frameworks (BCBS 239) and experience supporting regulatory remediation, Technical & Analytical: Programing proficiency in Python, SQL and reporting tools like Tableau, PowerBI, and Jira Experience guiding IT modernization, system integration, and process optimization, Advanced problem-solving, decision-making, and client advisory skills, Communication & Board Reporting: Excellent communication, negotiation, and presentation skills with demonstrated experience in Board-level engagement, Qualifications Masters or advanced degree preferred, 12+ yearsexperience in consulting or executive roles in financial services, Professional certifications (CDMP, PMP) highly desirable,

VP Operational Risk Data Management Job Summary / Objective Act as a strategic advisor and engagement lead, providing executive oversight and direction for the clients OCC-driven data remediation initiatives Ensure alignment of data management and governance and quality improvement strategies with regulatory requirements and business objectives, Key Responsibilities / Duties Define and communicate the strategic vision for data governance remediation to client executives, Guide the client in modernizing data architecture, risk aggregation, and regulatory reporting processes, Advise on development and enforcement of enterprise-wide data policies, standards, and controls, Support executive and Board-level reporting and engagement with OCC or other regulators, Lead efforts to foster a culture of data accountability and continuous improvement within the client organization, Required Skill Sets & Requirements Enterprise Data Analysis and Management: Extensive experience designing and implementing data analysis and management programs in large financial institutions, Strong understanding of data quality metrics, master data management, and metadata management, Regulatory & Risk Management: Experience in Operational risk domains including but not limited to Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk, third party risk, Processing risk, Services and Enterprise ops risk, Regulatory management reporting and financial statement reporting risk, Responsibilities include requirements gathering, data acquisition, data quality assessment, and building risk monitoring tools Deep knowledge of regulatory frameworks (BCBS 239) and experience supporting regulatory remediation, Technical & Analytical: Programing proficiency in Python, SQL and reporting tools like Tableau, PowerBI, and Jira Experience guiding IT modernization, system integration, and process optimization, Advanced problem-solving, decision-making, and client advisory skills, Communication & Board Reporting: Excellent communication, negotiation, and presentation skills with demonstrated experience in Board-level engagement, Qualifications Masters or advanced degree preferred, 6+ yearsexperience in consulting or executive roles in financial services, Professional certifications (CDMP, PMP) highly desirable, ORM-Level 1 Support experience required Indian Passport with 1 Year Validity Mandatory

We have a Job Requirement on Ataccama Production Support Data quality, governance, metadata management, Ataccama ONE platform ETL Developer or SQL Developer also Applicable Minimum 2+ Years of Experience Required Interview Mode: Face 2 Face

Operational Risk Data Management Job Summary / Objective Act as a strategic advisor and engagement lead, providing executive oversight and direction for the clients OCC-driven data remediation initiatives Ensure alignment of data management and governance and quality improvement strategies with regulatory requirements and business objectives, Key Responsibilities / Duties Define and communicate the strategic vision for data governance remediation to client executives, Guide the client in modernizing data architecture, risk aggregation, and regulatory reporting processes, Advise on development and enforcement of enterprise-wide data policies, standards, and controls, Support executive and Board-level reporting and engagement with OCC or other regulators, Lead efforts to foster a culture of data accountability and continuous improvement within the client organization, Required Skill Sets & Requirements Enterprise Data Analysis and Management: Extensive experience designing and implementing data analysis and management programs in large financial institutions, Strong understanding of data quality metrics, master data management, and metadata management, Regulatory & Risk Management: Experience in Operational risk domains including but not limited to Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk, third party risk, Processing risk, Services and Enterprise ops risk, Regulatory management reporting and financial statement reporting risk, Responsibilities include requirements gathering, data acquisition, data quality assessment, and building risk monitoring tools Deep knowledge of regulatory frameworks (BCBS 239) and experience supporting regulatory remediation, Technical & Analytical: Programing proficiency in Python, SQL and reporting tools like Tableau, PowerBI, and Jira Experience guiding IT modernization, system integration, and process optimization, Advanced problem-solving, decision-making, and client advisory skills, Communication & Board Reporting: Excellent communication, negotiation, and presentation skills with demonstrated experience in Board-level engagement, Qualifications Masters or advanced degree preferred, 6+ yearsexperience in consulting or executive roles in financial services, Professional certifications (CDMP, PMP) highly desirable, ORM-Level 1 Support experience required Indian Passport with 1 Year Validity Mandatory

As a Product Data Taxonomy Specialist in our eCommerce organization at MilliporeSigma, you will play a critical role in ensuring data governance, compliance, and effective taxonomy management across our extensive portfolio of over 350,000 products. You will be accountable for evolving, expanding, and enriching our product data taxonomy structure to support a best-in-class shopping experience for our customers. Who Are You: Lead the development of product category taxonomies to effectively organize and categorize our expansive and diverse catalog of reagents, chemicals, and instrumentation. Establish and maintain effective taxonomy structures that enhance product categorization and facilitate data retrieval. Develop and maintain standard operating procedures (SOPs) for implementing taxonomy changes. Collaborate with our Product Teams on establishing requirements and enhancements to Taxonomy Management Service/Application Conduct competitive research on product taxonomy structures, both internally and externally. Analyze website metrics and product discovery behaviors to drive data-informed decisions. Collaborate with stakeholders to promote the availability of high-quality, trusted data as a strategic asset in support of operational effectiveness and decision-making. Monitor and evaluate product data quality on an ongoing basis, identifying areas for improvement and driving corrective actions. Mentor internal users on data governance principles, taxonomy management, and compliance requirements. Educate technical and non-technical audiences on information architecture concepts. Basic/Minimum Qualifications: 2+ years of experience in Scientific Taxonomy/Ontology and its applications to eCommerce Taxonomy management, Search Engine management, or Information Architecture Bachelors degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience working with PIM systems Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies Experience creating and communicating technical requirements to engineering teams Strong understanding of data management best practices, including taxonomy management, metadata management, data quality management, and compliance frameworks. Understand the flow of e-Commerce product catalog information from search to checkout Preferred Qualifications: Masters Degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience with scientific products and laboratory workflows Familiarity with database management concepts, and experience with advanced data manipulation techniques Demonstrable ability to devise, communicate, and implement information architecture strategy Deep familiarity with taxonomies, ontologies, and classification systems and their management Familiarity with machine learning and natural language concepts and applications Adept at diving deep into search including algorithms and technical details Intellectually curious, technically savvy, detail oriented, entrepreneurial

Type: Contract (36 Months Project) Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):

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 : Informatica MDM OR Informatica Axon Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary: As an Application Lead for Informatica MDM, you will be responsible for leading the development and deployment of Informatica MDM solutions. Your typical day will involve working with cross-functional teams, designing and implementing MDM solutions, and ensuring data quality and integrity. Roles & Responsibilities: - Lead the design and implementation of Informatica MDM solutions, ensuring data quality and integrity. - Collaborate with cross-functional teams to understand business requirements and design MDM solutions that meet those requirements. - Develop and maintain MDM workflows, mappings, and data models. - Provide technical leadership and guidance to team members, ensuring adherence to best practices and standards. - Stay updated with the latest advancements in Informatica MDM and related technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Informatica MDM. - Good To Have Skills: Experience with Informatica PowerCenter, Oracle, and SQL Server. - Solid understanding of data modeling and data integration concepts. - Experience with MDM workflows, mappings, and data models. - Strong understanding of data quality and integrity concepts. - Experience with Agile development methodologies.

Overview About the job Do you have hands-on experience with data engineering, and data architecting? Are you familiar with metadata management and associated processes? We’re looking for an expert communicator with a strong customer orientation and object-oriented programming experience to join our Corporate Technology and Security Engineering team as a Senior Data Engineer. In this role, you’ll design, develop and implement data models, ETL pipelines and warehouses for our internal applications and system. Additionally, you will provide architectural assessments, strategies and roadmaps; verify performance, fault tolerance and security. If you’re craving an exciting new opportunity where you can partner with project managers and other business leaders to facilitate projects that make good use of your data insights, let’s chat! CIMS is a high-growth Software-as-a-Service (SaaS) company. We are the industry's premier recruitment software provider, delivering technology that supports more than 3,500 contracted customers around the globe. Committed to both growth and stability, we have a lot of opportunities for career advancement within our organization. Come grow with us—apply today! iCIMS is a high-growth Software-as-a-Service (SaaS) company headquartered in Holmdel, NJ. We are the industry’s #1 recruitment software provider, delivering technology that supports approximately 4,000 contracted customers around the globe. Dedicated to maintaining an inclusive, inspirational and innovative work environment, and committed to our consistent growth, we have a wide range of opportunity for career advancement within our organization. Come grow with us—apply today! Responsibilities Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement. Creates strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Design, Develop and Support ETL pipelines Oversees the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborates with project managers and business unit leaders for all projects involving CRM and downstream data. Addresses data-related problems in regards to systems integration, compatibility, and multiple-platform integration. key components as needed to create testing criteria in order to guarantee the fidelity and performance of data analytics solutions. Implements data management processes, procedures, and decision support. Optimize and monitor data pipelines feeding data stores or repositories. Work with data governance, customer success and product reporting teams to build out advanced analytics and reporting dashboards leveraging tools such as tableau, kibana, etc. Research emerging trends and best of breed solutions for data modeling, data contextualization, and predictive analytics. Proficient understanding of distributed computing principles. Qualifications A minimum of 5 years relevant experience. Hands-on knowledge of data modeling, data profiling or data parsing. Experience in Azure Data Warehousing, Azure Data Factory, SSIS, SSAS, ETL Familiarity with metadata management and associated processes. Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with data processing flowcharting techniques. Ability to manage data and metadata migration. Programming experience with Python Expert in writing SQL and Stored Procedures Experience in SFDC, NetSuite, Adaptive , Concur APIs highly desirable. Knowledge of AWS, GCP and Big Data, Red Shift is desirable Experience with integration platforms such as workato is a plus Excellent client/user interaction skills to determine requirements. Strong customer orientation focus and success in creating a superior customer experience. Good knowledge of applicable data privacy practices and laws. Understanding of Web services (SOAP, XML, UDDI, WSDL) Experience in defining, classifying, and, maintenance of MDM across an evolving set of SaaS interfaces.

Type: Contract (36 Months Project) Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote): Location-remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Key responsibilities: Understand the programs service catalog and document the list of tasks which has to be performed for each Lead the design, development, and maintenance of ETL processes to extract, transform, and load data from various sources into our data warehouse Implement best practices for data loading, ensuring optimal performance and data quality Utilize your expertise in IDMC to establish and maintain data governance, data quality, and metadata management processes Implement data controls to ensure compliance with data standards, security policies, and regulatory requirements Collaborate with data architects to design and implement scalable and efficient data architectures that support business intelligence and analytics requirements Work on data modeling and schema design to optimize database structures for ETL processes Identify and implement performance optimization strategies for ETL processes, ensuring timely and efficient data loading Troubleshoot and resolve issues related to data integration and performance bottlenecks Collaborate with cross-functional teams, including data scientists, business analysts, and other engineering teams, to understand data requirements and deliver effective solutions Provide guidance and mentorship to junior members of the data engineering team Create and maintain comprehensive documentation for ETL processes, data models, and data flows Ensure that documentation is kept up-to-date with any changes to data architecture or ETL workflows Use Jira for task tracking and project management Implement data quality checks and validation processes to ensure data integrity and reliability Maintain detailed documentation of data engineering processes and solutions Required Skills: Bachelor's degree in Computer Science, Engineering, or a related field Proven experience as a Senior ETL Data Engineer, with a focus on IDMC / IICS Strong proficiency in ETL tools and frameworks (e g , Informatica Cloud, Talend, Apache NiFi) Expertise in IDMC principles, including data governance, data quality, and metadata management Solid understanding of data warehousing concepts and practices Strong SQL skills and experience working with relational databases Excellent problem-solving and analytical skills Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible Thank you! ABOUT INNOVA SOLUTIONS: Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields Recent Recognitions: One of Largest IT Consulting Staffing firms in the USA Recognized as #4 by Staffing Industry Analysts (SIA 2022) ClearlyRated Client Diamond Award Winner (2020) One of the Largest Certified MBE Companies in the NMSDC Network (2022) Advanced Tier Services partner with AWS and Gold with MS

About the Role: Grade Level (for internal use): 10 The Team: S&P Global Commodity Insights provides essential intelligence for global commodity markets. Our team ensures data accuracy, consistency, and accessibility while driving innovation through technologies and data governance practices. Joining this team provides you the opportunity to play a key role in advancing the future of commodity data and analytics in an innovative and evolving landscape. Responsibilities and Impact: This position requires a proactive approach to data quality, security, and usability, supporting the organization in leveraging data as a strategic asset. As a Data Governance Analyst, you will ensure the data is accurate, secure, and compliant with regulations. By implementing governance frameworks, youll safeguard business data, improve data quality, and mitigate privacy risks. Your work will foster a culture of data accountability, collaborating with teams and leadership to align governance practices with business goals, enabling informed decision-making and supporting compliance. Implement and Manage Data Governance Frameworks Lead the development and implementation of data governance policies, standards, and procedures to ensure data quality, privacy, and security across the organization. Data Quality Assurance Develop and manage processes to assess and improve data quality, ensuring that all business-critical data is accurate, consistent, and accessible for decision-making. Resolve Data Issues Identify, Analyse, and resolve data-related issues, providing solutions for discrepancies and promoting best practices in data handling. Collaborate with Cross-functional Teams Work closely with IT, data science, and business teams to drive data governance initiatives and foster a culture of data stewardship and accountability. Ensure Compliance and Risk Mitigation Monitor and enforce compliance with regulations, such as GDPR and CCPA, mitigating risks related to data privacy and regulatory compliance. Drive Data Quality Improvement Develop and manage processes to assess and improve data quality, ensuring that all business-critical data is accurate, consistent, and accessible for decision-making. Exposure to Senior Leadership and Global Stakeholders Regularly interact with senior decision-makers, policy experts, and market leaders, gaining valuable experience and visibility in a high-stakes, global environment. Growth and Professional Development Gain expertise in data management tools and methodologies, with opportunities for continuous learning, career progression, and involvement in strategic data governance initiatives on a global scale. What Were Looking For: Basic Required Qualifications: Bachelor's degree 3-5 years of experience in data governance, data quality, data preparation, and data classification. Proficiency in data management and governance principles and current industry trends. Strong understanding of data management tools, data governance frameworks (e.g., DAMA), databases, and data privacy regulations. Experience with data quality management, data classification and metadata management. Proven ability to manage multiple business stakeholders, actively engaging with and aligning enterprise senior leadership to drive data governance initiatives. Strong collaborative mindset with a structured approach to problem-solving. Innovative thinker, capable of working effectively across teams and geographies. Additional Preferred Qualifications: Knowledge of applications such as Salesforce, Marketo, Cvent, commercial platforms and One trust. Proficient in MS Excel, MS PowerPoint, and visualising tools such as Power BI/ Tableau. Ability to work in an agile environment with focus on LEAN approach. Excellent written and verbal communication skills Certifications:- Data Governance and Stewardship Professional Certified Data Governance Practitioner Salesforce Administrator or associate certification Gen AI Shift Timings: 8:30AM EST-5:30 PM EST (Flexibility required) About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit http://www.spglobal.com/commodity-insights . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP103.1 - Middle Management Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Job Title: Microsoft Purview Specialist (Junior Level) Type: Contract (36 Months Project) Location: Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Experience: 1--3 Years Preferred Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):

Company: Yash Technology Mode of work: Remote Interested candidates share your update resume to padma.ashwitha@gamil.com Share the relevant profiles of the requirement. Document Management System (DMS) consultant on S4 - Provide hands-on expertise in SAP DMS configuration and management, with 5-10 years of relevant experience. - Manage the complete document lifecycle within SAP DMS, including creation, storage, retrieval, version control, and archiving. - Configure and maintain metadata within SAP DMS to ensure accurate document categorization and efficient searching. - Implement and manage version control strategies within SAP DMS to track document changes and maintain audit trails. - Possess strong experience with SAP ECC and SAP S/4HANA, including a deep understanding of how DMS integrates with other SAP modules such as Materials Management (MM), Plant Maintenance (PM), and Quality Management (QM). - Design, implement, and manage SAP DMS workflows to automate document routing, approval processes, and other document-related tasks. - Define and implement document categorization strategies within SAP DMS to organize and classify documents effectively. - Configure and manage various storage solutions integrated with SAP DMS, ensuring optimal performance and accessibility. - Implement and maintain SAP DMS security protocols, including user roles, authorizations, and access controls, to protect sensitive information. - Apply knowledge of compliance standards and document retention policies within SAP systems to ensure adherence to regulatory requirements. - Collaborate with business users and IT teams to gather requirements and translate them into effective SAP DMS solutions. - Develop and maintain comprehensive documentation for SAP DMS configurations, processes, and user guides. - Provide end-user training and support for SAP DMS functionalities. - Troubleshoot and resolve issues related to SAP DMS functionality and integrations. - Participate in upgrades and enhancements of the SAP DMS system. - Strong communication and interpersonal skills, with the ability to collaborate effectively with cross functional teams. - Knowledge of SAP Content Server. - Familiarity with data migration tools and techniques related to SAP DMS. - Experience in developing custom solutions or enhancements within SAP DMS.

Key Responsibilities Atlan Deployment & Connector Setup : Configure Atlan (SaaS or private cloud), set up connectors for Data Bricks, Hadoop, Power BI, and schedule metadata ingestion pipelines. Metadata Modeling & Domain Onboarding : Work with domain owners to map schemas, define custom metadata attributes (sensitivity, owner, SLA), and create standardized ingestion playbooks for new data domains. Lineage Instrumentation & Data Profiling : Instrument column-level lineage via OpenLineage or native Atlan connectors, configure automated profiling jobs (row counts, null rates) to surface data quality metrics. Governance Policy Implementation : Translate policies (PII detection, data retention) into Atlans rule engine, configure RBAC and SSO/LDAP integration, and implement encryption/masking for sensitive datasets. Monitoring & Troubleshooting : Build monitoring dashboards (CloudWatch, Grafana) to track ingestion health and API errors, diagnose pipeline failures, and coordinate fixes with Atlan Support and source-system teams. Required Qualifications 3-5 years implementing or supporting ( hands-on ) Atlans platform (catalog, lineage, policy automation) (Good to have: Collibra, Alation experience). Proficiency in Python or JavaScript for API integrations, strong SQL skills, and hands-on experience with ETL/ELT frameworks. Familiarity with cloud platforms (AWS/GCP), containerization (Kubernetes/Docker), and scripting infrastructure as code (Terraform, CloudFormation). Solid understanding of metadata concepts (technical vs. business metadata, lineage, profiling) and data classification schemes (PII, PCI, PHI). Strong stakeholder-engagement skills: able to run onboarding sessions and create clear runbooks. Bachelor’s in computer science, Data Engineering, or related field; relevant cloud or Atlan certifications a plus

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BE/Btech br/>Key Responsibilities : "1. Ability to work as a part of a team/work independently with minimal guidance 2. US Healthcare domain knowledge will be added advantage" br/>Technical Experience : Hands-on Experience in Collibra and Master Data Management Experience with good working knowledge of Collibra suite Experience working on Implementing Metadata, Glossary and Lineage Experience in Data Governance and Management MDM skill and Retail experience is good to have br/>Professional Attributes : Good at Communication and leadership skills, team handling skills, analytical skills br/>Educational Qualification : BE/Btech

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Data Quality Lead by Domain Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Develop and implement data quality frameworks. Design and enforce standards for data quality and governance to ensure consistent, accurate, and reliable data. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. data quality best practices and tools for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains. Collaborate with stakeholders and work closely with data stewards, analysts, IT, and business units to understand data requirements and address quality concerns. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are being met. Lead data quality initiatives aimed at improving data quality, including data cleansing, enrichment, and validation processes. Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.). In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions. Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) 3-5 years of experience in data quality management, data governance, or related roles. Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Create and maintain privacy policies and procedures to protect sensitive data and ensure compliance. Conduct regular privacy risk assessments and audits to identify and mitigate potential risks as required Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains including GDPR, CCPA, and other relevant legislations. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Strong understanding of data protection laws and regulations, including GDPR, CCPA, and other relevant legislations. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) 3-5 years of experience in data privacy, compliance, or a related field. Soft Skills: Integrity: Commitment to maintaining the highest ethical standards and protecting confidential information. Adaptability: Ability to adapt to changing regulations and emerging privacy challenges. Proactivity: Self-motivated with a proactive approach to identifying and addressing privacy issues. Leadership: Strong leadership skills and the ability to influence and drive change within the organization. Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. As GCP Data Engineer at Kyndryl, you will be responsible for designing and developing data pipelines, participating in architectural discussions, and implementing data solutions in a cloud environment using GCP data services. You will collaborate with global architects and business teams to design and deploy innovative solutions, supporting data analytics, automation, and transformation needs. Responsibilities: Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Participate in architectural discussions, conduct system analysis, and suggest optimal solutions that are scalable, future-proof, and aligned with business requirements. Collaborate with stakeholders to gather requirements and create high-level and detailed technical designs. Design data models suitable for both transactional and big data environments, supporting Machine Learning workflows. Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP services. Develop and maintain Python / PySpark for data processing and integrate with GCP services for seamless data operations. Develop and optimize SQL queries for data analysis and reporting. Monitor and troubleshoot data pipeline issues to ensure timely resolution. Implement data governance and security best practices within GCP. Perform data quality checks and validation to ensure accuracy and consistency. Support DevOps automation efforts to ensure smooth integration and deployment of data pipelines. Provide design expertise in Master Data Management (MDM), Data Quality, and Metadata Management. Provide technical support and guidance to junior data engineers and other team members. Participate in code reviews and contribute to continuous improvement of data engineering practices. Implement best practices for cost management and resource utilization within GCP. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Bachelor’s or master’s degree in computer science, Engineering, or a related field with over 8 years of experience in data engineering More than 3 years of experience with the GCP data ecosystem Hands-on experience and Strong proficiency in GCP components such as Dataflow, Dataproc, BigQuery, Cloud Functions, Composer, Data Fusion. Excellent command of SQL with the ability to write complex queries and perform advanced data transformation. Strong programming skills in PySpark and/or Python, specifically for building cloud-native data pipelines. Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker, etc. Hands-on experience implementing enterprise-wide cloud data lake and data warehouse solutions on GCP. Knowledge of data governance, security, and compliance best practices. Experience with private and public cloud architectures, pros/cons, and migration considerations. Excellent problem-solving, analytical, and critical thinking skills. Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail. Communication Skills: Must be able to communicate with both technical and nontechnical. Able to derive technical requirements with the stakeholders. Ability to work independently and in agile teams. Preferred Technical And Professional Experience GCP Data Engineer Certification is highly preferred. Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization. Experience working as a Data Engineer and/or in cloud modernization. Knowledge of Databricks, Snowflake, for data analytics. Experience in NoSQL databases Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with BI dashboards and Google Data Studio is a plus. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the General and Administrative operations (G&A) domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the General and Administrative operations (G&A) domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 Years of Experience