10 Data Stewards Jobs

Please find below the JD for BA/DA role: 1. Good experience in SQL and Collibra Governance tool. 2. Having knowledge of Collibra Data Quality is not mandatory but adds value. 3. Having good communication skills. 4. Collaborating with the business team like Data Stewards and Data Owners to understand the business requirements. 5. Good experience in banking domain. 6. Having good knowledge of regulator standards related to banking domain like BCBS and FCC Sanctions. Package - As per the industry norms. Preferably looking for immediate joiners or with a notice period of a month only.

As a Data Quality & Governance Lead at Kenvue based in Bengaluru, India, you will be responsible for ensuring the quality, consistency, and integrity of the organization's data. Your role will involve developing and implementing data governance frameworks, policies, and procedures to maintain data standards across the enterprise. You will collaborate closely with various stakeholders, including IT, business units, and senior management, to promote a culture of data excellence. Your key responsibilities will include driving the data quality function of the Global Supply Chain, which involves data profiling, data cleansing, and data enrichment to support program goals. You will maintain and define data quality and metadata processes, develop data quality rules, and work on enhancing the in-house data quality framework. Additionally, you will deliver data quality solutions and capabilities to data stewards, assist in the implementation of data governance controls, and ensure compliance with relevant data protection regulations. To excel in this role, you should have a minimum of 5-8 years of relevant work experience, advanced skills in data analysis, business requirement gathering, and dashboarding/reporting. Experience with Microsoft Azure, SQL, and SAP ERP Systems is preferred, along with project management experience. A CDMA certification would be a plus. You will collaborate with global and regional data owners, stewards, and subject matter experts to standardize data, align data quality rules with evolving landscapes, and design data quality policies and methodologies. Your ability to identify and resolve data quality issues, work in complex environments, and champion the role of data quality will be crucial to success in this role. If you are results-driven, detail-oriented, and possess strong organizational and communication skills, along with the ability to work autonomously and in a team, we encourage you to apply for this position at Kenvue in Bengaluru, India.,

As a highly skilled Data Governance Developer with expertise in Microsoft Purview and metadata management, you will be responsible for supporting enterprise-wide data governance initiatives. Your role will involve implementing scalable data governance solutions, particularly in the investment banking or financial services domain, and ensuring the enforcement of data policies, standards, and lineage across cloud environments. You will lead and support the complete implementation of Microsoft Purview, including tasks such as configuration, scanning, and API integrations. Additionally, you will design and manage enterprise business glossaries, data classifications, metadata lineage, and technical/business metadata association. Your responsibilities will also include configuring and automating metadata ingestion pipelines from various sources in Azure, AWS, and GCP environments. Collaboration with data stewards, architects, and platform teams will be essential to define and maintain data governance standards and processes. You will be expected to ensure compliance with cloud security, regulatory standards, and data governance frameworks. Monitoring metadata quality, lineage visibility, and data catalog health through regular audits and improvements will also be part of your duties. Furthermore, you will provide technical guidance on Purview APIs and their integration with AI/ML data pipelines. Your contribution to data governance frameworks in Agile project delivery and DevOps cultures will be crucial for the success of the data governance initiatives. To be successful in this role, you should have at least 5 years of experience in data governance, metadata management, or data cataloging in enterprise environments. You must possess a minimum of 12 years of hands-on experience with Microsoft Purview, including at least one end-to-end implementation. Proficiency in Purview API usage, resource scanning, classification, and metadata mapping is required. A strong understanding of data lineage, data dictionaries, and glossary management is essential. Previous experience in investment banking, capital markets, or regulated financial environments would be highly advantageous. Familiarity with cloud platforms such as Azure, AWS, and GCP, especially in data services and governance controls, is preferred. Knowledge of AI/ML-enabled metadata automation and intelligent classification is considered a plus. Excellent interpersonal and communication skills are necessary to engage with both technical and business stakeholders effectively. Holding Microsoft certifications in Azure Data Engineer, Security Engineer, or Purview will be a strong advantage in this role.,

As a Data Champion at Siemens Energy, you will play a crucial role in ensuring high-quality, accessible, and reliable supplier and material data within the procurement function. Your responsibilities will include collaborating with various business units and technical teams to identify and address data gaps in SAP and MDG systems, supporting the implementation of the Data Strategy, and promoting a culture of data literacy. By serving as a trusted advisor, you will be the key point of contact for data quality initiatives, facilitating data-driven decisions that enhance procurement effectiveness. In this role, you will evaluate supplier data in SAP and MDG to identify discrepancies and gaps, working closely with Business and MDG teams to maintain accurate data records. Additionally, you will collaborate with commodity managers and operational buyers to drive efforts for cleansing supplier data and support the implementation of the company's Data Strategy within procurement. Your involvement in Data Circle and community initiatives will contribute to improving procurement data quality, while also acting as a single point of contact for projects focused on enhancing data quality in TI Procurement. Your ability to partner with Data Stewards to track project progress and improvements in data quality, as well as your skills in identifying and addressing data quality issues, will be essential. Strong problem-solving skills, effective communication with technical and non-technical audiences, and a proactive approach to resolving data challenges are key aspects of this role. Furthermore, your analytical mindset, passion for data accuracy, and ability to manage multiple customers and priorities in a multi-functional environment will be valuable assets. To be successful in this position, you should have over 3 years of procurement experience with a focus on Supplier and Material Master data management. Hands-on experience with SAP, MDG, or Ariba systems is required, along with a degree in Business, Data Science, Information Systems, or a related field. Previous experience in data-related roles or business analysis is highly regarded, and knowledge of data visualization tools like Power BI or Tableau is a plus. Excellent communication, analytical, and interpersonal skills are also essential for this role. Join the distributed team at Siemens Energy, a global energy technology company dedicated to developing sustainable energy systems for the future. With a diverse workforce of over 100,000 employees in more than 90 countries, we are committed to driving the energy transition and meeting the world's growing energy demand reliably and sustainably. Discover how you can contribute to our mission of decarbonization, innovation, and energy transformation by visiting https://www.siemens-energy.com/employeevideo. At Siemens Energy, we believe in the power of diversity and inclusion. Our workforce of over 130 nationalities thrives on creativity and collaboration, regardless of ethnic background, gender, age, religion, identity, or disability. We energize society by embracing our differences and ensuring equal opportunities for all individuals. As part of the benefits package at Siemens Energy, all employees receive automatic coverage under Medical Insurance, including a considerable Family floater cover for employee, spouse, and up to 2 dependent children. Additionally, the company offers the option to opt for a Meal Card as a tax-saving measure, in accordance with the company policy. Join us at Siemens Energy and be part of a team that is dedicated to making sustainable, reliable, and affordable energy a reality. Your contributions will help shape the future of energy systems and drive the global energy transition.,

The Data Quality Analyst will collaborate with business stakeholders, Data Science, and wider data teams to enhance data quality throughout the organization and ensure data credibility in its usage. You will be responsible for developing a robust framework for data quality to uphold data integrity for regulatory and strategic needs. You will identify and address potential data quality issues at all stages of the data lifecycle and monitor data quality performance using tools and processes to maintain the highest standards. In this role, you will work in close coordination with data stewards to resolve data integrity issues and guarantee the delivery of high-quality data. Additionally, you will closely collaborate with the data platform team and stakeholders to contribute to the implementation of the data quality framework and roadmap. It is essential to align data quality initiatives with the overall data governance strategies. As a Data Quality Analyst, you will perform detailed root cause analysis of data issues and provide recommendations for preventing future defects. You will propose enhancements to streamline processes and enhance data management. You will also be responsible for implementing data quality rules in data quality tools to ensure compliance with enterprise data quality standards and requirements. Furthermore, you will advocate for high-quality data, ensuring that valuable data is governed, compliant, and delivers optimal value by identifying and resolving issues. You will also play a key role in contributing to Data management KPI reporting by maintaining data quality scores.,

As a Data Architect in our organization, you will play a crucial role in defining the data architecture for key domains within the Data Products Portfolio. Your responsibilities will include evaluating data-related tools and technologies, recommending implementation patterns, and standard methodologies to ensure our Data ecosystem remains modern. Collaborating with Enterprise Data Architects, you will establish and adhere to enterprise standards while conducting PoCs to ensure their implementation. Your expertise will be instrumental in providing technical guidance and mentorship to Data Engineers and Data Analysts, developing and maintaining processes, standards, policies, guidelines, and governance to ensure consistency across the company. You will create and maintain conceptual/logical data models, work with business and IT teams to understand data requirements, and maintain a data dictionary with table and column definitions. Additionally, you will review data models with technical and business audiences and lead the design/build of new models to deliver financial results efficiently to senior management. This role is primarily technical, requiring you to function as an individual contributor (80%) while also demonstrating leadership capabilities (20%). Your key responsibilities include designing, documenting, and training the team on overall processes and process flows for Data architecture, resolving technical challenges in critical situations, developing relationships with external stakeholders, reviewing work from other tech team members, and implementing Data Architecture and Data security policies aligned with governance objectives and regulatory requirements. **Essential Education** - A Bachelor's degree in information science, data management, computer science, or a related field is preferred. **Experience & Qualifications** - Bachelor's degree or equivalent combination of education and experience. - 12+ years of IT experience with a major focus on data warehouse/database related projects. - Expertise in cloud databases like Snowflake/RedShift, data catalog, MDM, etc. - Proficiency in SQL, database procedures, Data Modelling (Conceptual, logical, and Physical), and documenting architecture-related work. - Hands-on experience in data storage, ETL/ELT, data analytics tools and technologies, Data Warehousing design/development, and BI/Analytical systems. - Experience with Cloud Big Data technologies such as AWS, Azure, GCP, and Snowflake. - Experience with Python is preferable. - Strong hands-on experience with data and analytics data architecture, solution design, and engineering. - Experience working with Agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams. - Strong communication and presentation skills for presenting architecture, features, and solution recommendations. You will work closely with global functional portfolio technical leaders, product owners, functional area teams, Global Data portfolio Management & teams, and consulting and internal Data Tribe teams across the organization.,

As a Data Strategy & Data Governance Manager at Accenture, you will be part of the Technology Strategy & Advisory team, focusing on enabling our most strategic clients to realize exceptional business value from technology. You will play a crucial role in defining and implementing data strategies for global clients, working on transformative strategies and innovative solutions. Your responsibilities will include assessing the potential of Data & Analytics for business transformation, envisioning and designing customized data and analytics products and services, and formulating guiding principles and components for clients" technology landscape. You will evaluate existing data and analytics products, develop solutions, and establish frameworks for effective Data Governance across multispeed implementations. To excel in this role, you will need to leverage your knowledge of technology trends in Data & Analytics, interact with client stakeholders to understand their problems and priorities, and design enterprise-wide Data & Analytics strategies. You will establish data governance processes, define data ownership, standards, and policies, and drive data capability maturity assessments for clients. Your expertise in cloud platforms like Google, Azure, or AWS will be essential for architecting and designing solutions, while collaborating with business experts and technology teams. The ideal candidate will have an MBA from a tier 1 institute, 5-7 years of Strategy Consulting experience, and at least 3 years of experience in Data & Analytics Strategy, Data Operating Model & Governance, and Data on Cloud Strategy. Experience with technologies like Collibra, Talend, Informatica, and SAP MDG, as well as certifications in Cloud Data & AI Practitioner (Azure, AWS, Google) will be advantageous. Strong leadership skills, financial acumen, and industry expertise in sectors like Financial Services, Retail, Telecommunications, or Life Sciences are desirable. If you are a problem solver with a passion for driving data-driven transformations and delivering value to clients, this is an exciting opportunity for you to make a significant impact in the field of Data Strategy & Data Governance at Accenture.,

You will be responsible for defining and implementing the data governance strategy within the Telecom Domain. This role involves establishing metadata standards, defining attribute ownership models, ensuring regulatory compliance, and improving data quality and trust across the enterprise. As a Telecom Data Governance Lead, you will define and implement an enterprise-wide data governance framework. You will own the metadata catalog, ensuring consistency across business and technical assets. Additionally, you will develop and manage KPI registries, data dictionaries, and lineage documentation. Collaborating with data stewards and domain owners is essential to establish attribute ownership. Your role will also involve leading efforts around data standardization, quality rules, and classification of sensitive data. Ensuring privacy and compliance by enforcing tagging, masking, and access rules is a key responsibility. Defining access control rules, overseeing governance for data products and federated data domains, supporting audits, and coordinating with various teams are also part of the role. To qualify for this position, you should have a Bachelor's or Master's degree in Computer Science, Telecommunications Engineering, Data Science, or a related technical field. A minimum of 10 years of experience in data governance roles, with at least 3-4 years specifically in the telecommunications industry, is required. Experience integrating governance with modern data stacks such as Data bricks and Snowflake is essential. Proficiency in data governance tools like Alation, Unity Catalog, Azure Purview, and a proven understanding of metadata management, data lineage, and data quality frameworks are necessary. Experience in implementing federated governance models, data stewardship programs, and knowledge of compliance requirements (GDPR, HIPAA, PII, etc.) are important qualifications. Familiarity with data mesh principles, data contract approaches, excellent communication, stakeholder management skills, and a background in telecom, networking, or other data-rich industries are beneficial. Certification in data governance or management frameworks is a plus.,

Data Quality Profiling using SQL (Knowledge with Teradata is preferred). DQ Validation and reporting. Data Quality Management, engaging with internal stakeholders and reflecting requirements on Informatica IDQ. Good knowledge with Informatica AXON Good knowledge with Informatica EDC Good knowledge with Informatica IDQ Using Data Governance Operating Model to collect requirements (Actively Engage with SMEs and Data Stewards).

The work you do every day at Illumina has the potential to impact the lives of people you know, as well as humanity as a whole. Illumina is dedicated to expanding access to genomic technology to achieve health equity for billions of individuals worldwide. This commitment leads to groundbreaking discoveries that revolutionize human health by enabling early disease detection, diagnosis, and innovative treatment options for patients. Being a part of Illumina means contributing to a larger purpose. Regardless of your role, you have the chance to make a meaningful difference. Surrounded by exceptional individuals, visionary leaders, and groundbreaking projects, you will exceed your expectations and discover your full potential. We are currently looking for a PLM Analyst to join our skilled team in Bangalore. In this role, you will play a crucial part in managing the core operations related to the Product Lifecycle within a dynamic and fast-paced organization, focusing on both new product development and on-market commercial operations. Your responsibilities will include creating and submitting change control requests, serving as a key resource in the change management process from initiation to product end-of-life for Illumina products, and maintaining product and process configurations in PLM and SAP ERP. You will collaborate with cross-functional teams to create Change Requests and Change Orders, ensuring that configuration and document changes contain all necessary information and addressing any arising issues. Responsibilities: - Utilize problem-solving skills to analyze the scope of Change and the relevant business dataset (e.g., Items, Documents, Bill of Materials, Facilities, EH&S). - Package Change scope efficiently into Change Requests and Change Orders to enhance operational efficiencies. - Prioritize processing Changes while aligning with defined Service Levels and expected metrics (e.g., turnaround time and quality service level). - Conduct comprehensive data analysis based on the Change scope to achieve a higher accuracy level of impacted items, including Item and Document searches by key attributes and descriptions within PLM and related systems (e.g., SAP, Camstar, LIMS). - Verify the accuracy and completeness of Change packages by collaborating with other Change Originators when necessary, following established procedures, work instructions, or job aids. - Perform data quality reviews during Change workflows, assessing data integrity risks, ensuring data completeness and accuracy, and advancing PLM workflows through lifecycle stages. Experience Required: - 3-5 years of prior professional experience in the PLM space of a MedTech company with a solid understanding of Enterprise Change Management, Master Data Management, and Enterprise Document Control. - Familiarity with basic GMP, regulatory, and compliance requirements of a MedTech company, such as 21 CFR 820 (Quality System Regulation), 21 CFR Part 11 (Electronic Records and Electronic Signatures), and 21 CFR Part 809 (In-Vitro Diagnostic Products). - Previous experience in a Data Stewards role handling Item and Document Master Data within a controlled environment is preferred.,