Data Governance Specialist Jobs

Job Summary The Regional Master Data Management (MDM) Manager II is a senior-level individual contributor responsible for the governance, quality, integrity, and strategic management of enterprise master data across regional and global business operations. As a recognized subject matter expert, the Regional Master Data Management (MDM) Manager II provides leadership and oversight for master data governance programs, ensuring data consistency, accuracy, and compliance across enterprise systems, integrations, and analytical platforms. Working closely with business stakeholders, data stewards, IT teams, and global governance organizations, the Regional Master Data Management (MDM) Manager II drives the development and execution of data standards, quality controls, and governance practices that support operational excellence, regulatory compliance, and informed business decision-making. The Regional Master Data Management (MDM) Manager II serves as a key escalation point for complex master data challenges, leads cross-functional initiatives to improve data quality and governance maturity, and supports enterprise transformation efforts through trusted and scalable data management practices. Although the Regional Master Data Management (MDM) Manager II does not have direct people management responsibilities, the role provides leadership through expertise, influence, and collaboration. The Regional Master Data Management (MDM) Manager II independently manages complex initiatives, mentors stakeholders on master data management best practices, and drives alignment between regional business requirements and global data strategies to maximize the value of enterprise master data. Responsibilities Lead the regional execution of global master data governance strategies, policies, standards, and operating procedures across assigned data domains. Partner with global governance teams to defi

We are seeking a detail-oriented and analytical Data Steward – Operational Technology (OT) to join our Enterprise Data team. The ideal candidate will have a minimum of 3 to 5 years of experience in data management, data quality, and operational technology datasets. In this role, you will be responsible for managing data quality, cataloguing, asset modeling, and data standardization across operational systems (PLC, DCS, SCADA, IoT) and modern cloud data platforms like Databricks. You will work closely with plant operations, IT, data engineering, and analytics teams to ensure high data reliability, consistency, and alignment with enterprise data governance standards. Source: Adani Group | Job ID: 56028

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Data Steward to support and accelerate the productivity of our Sales organization. You will manage the governance and quality of data in Smartsheet's source CRM system that supports the daily operations of our Sales organization. You will maintain data assets and establish relevant processes with the ultimate goal of making it easier for our Sales reps to find and understand the data they need. You will support our Sales analyst team scrubbing data and researching inconsistencies in reporting. This role reports to a Sr. Manager, Variable Compensation based in the US. This role is eligible for remote work within Costa Rica. You must reside in Costa Rica. You Will: Lead changes and revisions to master data, metadata, and data hierarchies and affiliations within given guidelines Ensure that the Sales organization is operating off a single source of truth that can be reliably queried and accessed Perform initial data quality checks on extracted data Provide recommendations to leadership on needed updates or inputs into data governance policies, practices, and guidelines Other job duties as assigned. You Have: Bachelor's degree in related preferred 2+ years of experience in metadata management beneficial Experience in Cloud and SaaS go-to-market (GTM) Knowledge of data governance challenges and best practices for data quality and data stewardship A high level of proficiency in Excel (can perform complex functions) and Salesforce.com or equivalent CRM tool The ability to serve as a condu

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE At Everpure, we are building the future of supply chain operations, and trusted master data is the foundational bedrock of our global scale. As our Supply Chain Master Data Management Data Steward, you will operationalize our master data governance framework by ensuring core enterprise data is accurately created, validated, and managed. Partnering closely with global Supply Chain, Order Management, IT, and external Contract Manufacturers, you will lead data lifecycle workflows to eliminate operational friction and ensure structural data health. Your dedication to data quality will directly safeguard downstream transaction reliability, empowering our entire business to execute flawlessly. WHAT YOU'LL DO Govern Master Data Lifecycles: Execute and own the end-to-end creation, maintenance, enrichment, and change control activities for critical supply chain domains (item, product, bill of materials, sourcing, and logistics) across global ERP systems (SAP). Enforce Data Quality & Validation: Active monitoring of master data movement across integrated platforms, owning exception handling, validation checks, and rapid remediation support to eliminate data sync failures and transaction delays. Streamline External Supply Ecosystems: Coordinate and align with external Contract Manufacturers to manage and validate shared critical data structures, ensuring flawless manufacturing and supply execution. Champion Process Stand

A CAREER WITH POINT72’S DATA SOURCING TEAM: We are looking for a Market Data Operations Associate to join our Enterprise Data Sourcing Team to help manage day-to-day market data operations around data governance, entitlement management, and market data support. In this role, you will support our expanding data requirements and strategic business initiatives around firmwide market data. What you’ll do: Manage and monitor market data and service change notifications from exchanges and other key market data suppliers Identify any gaps in market data usage and coverage and provide proper licensing recommendations Administer and manage market data entitlements for market data feeds (e.g. TREP, BPIPE) and terminals (e.g. Bloomberg Terminals, FactSet Workstation, CapIQ) Help manage exchange audits to fulfil their requirements, including working with usage statistics via SERS / DACS / EMRS reports Help ensure the firm’s market data access and usage is compliant with licensing agreements Help manage the full lifecycle of market data exchange contracts and renewals, including tracking of user inventory and key commercial terms Help provide additional ad-hoc administrative support around the firm’s market data operations, including invoice reconciliation, internal reporting, etc. What’s required: Bachelor’s or Master’s degree in finance, economics, computer science, business, or related field (with a strong academic record). 4+ years of experience in market data management within a financial services or trading environment. Strong understanding of exchange data licensing, entitlements, and governance policies. Familiarity with market data platforms, feed technologies, and integration processes. Knowledge of global trading markets and regulatory requirements. Strong problem-solving skills with the ability to anticipate issues and propose solutions. Detail-oriented with the ability to track policy changes and ensure operational compliance. Proj

Data Management Consultant (Senior Consultant/Principal Consultant) Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Help financial institutions design intelligent, trusted and future-ready data ecosystems. The Role As a Data Management Consultant, you'll join Capco's Data Strategy & Advisory team, part of our global Data Practice of 1,000+ data professionals. You'll work with leading Financial Services clients to design, implement and embed modern data management capabilities that support scalable, sustainable and data-driven transformation. This role blends strategic advisory with hands-on delivery, supporting clients as they adopt AI-enabled, automated and adaptive data management operating models. You'll help organisations build trusted data foundations that enable AI at scale while ensuring governance, transparency, human oversight and regulatory compliance remain integral to every solution. What You'll Do Design and implement AI-enabled data management frameworks, defining AI use cases, business requirements and intelligent workflows while working with technology teams to configure AI-powered data management capabilities and agentic solutions. Enable AI-ready data by establishing standards for metadata, business glossaries, taxonomies, data products and semantic layers that support both trusted business consumption and AI model interoperability. Collaborate with architecture, engineering and platform teams to design target-state data architectures that enable scalable AI-driven data management capabilities and modern data ecosystems. Define governance guardrails, controls and operating models that enable the safe, transparent and effective use of AI within data management, ensuring appropriate human oversight, auditability and regulatory alignment. Deliver and embed core data management capabilities, including data governance, ownership, data quality, metadata, lineage and stewardship, while supporting organisational adopti

About the Role The Data engineering team has been created keeping in mind the importance and criticality of data for the overall success of Chime. The mission of this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. As a core member of the team, you will have the opportunity to build scalable data pipelines and frameworks. Additionally, you will have the unique opportunity to architect and build workflows that could potentially become de facto standards for the fintech industry. In this role, you can expect to Be a hands-on data engineer, building, scaling and optimizing ETL pipelines Design data schemas and scale them data for 10x data growth Ownership of all aspects of data - data quality, data governance, schema design, data quality and security Develop scalable data architecture and standardized data models that enable self-serve data insights using AI. Own the ETL workflows and make sure the pipeline meets data quality and availability requirements Work closely with partner teams, like Data Science, Analytics and DevOps To thrive in this role, you have 5+ years experience transforming data to governed and lucid datasets 5+ years of hands-on experience to build and deploy production-quality data pipelines 5+ years of experience working with stakeholders to provide business insights 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata Track record of successful partnerships with Analytics, Data Science and DevOps teams Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. #LI-Onsite #LI-WW1 Below is the base salary offered for t

Senior Data Modelling Consultant Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Transform data structure. Model business value. Build data-driven futures. The Role Capco is hiring a Senior Data Modelling Consultant to help shape and implement enterprise-grade data models for top-tier financial services clients. In this role, you'll use your analytical mindset and modelling expertise to drive business understanding, support large-scale data migrations, and deliver best-practice modelling solutions aligned to industry standards. What You’ll Do Conduct business analysis to define data requirements and support metadata management Design and deliver conceptual, logical, and physical data models for complex data programmes Identify data entities and relationships and map source-to-target transformations Support data governance activities including standards enforcement and review forums Use modelling tools (e.g. Sparx, Erwin, Power Designer) to develop, curate and refine models) What We’re Looking For Proven experience in financial services data modelling within data migration or architecture programmes Strong grasp of data modelling layers and standards (conceptual, logical, physical) Familiarity with financial reference models such as fpML, FIX, or FIBO Skilled in data model documentation, stakeholder engagement, and metadata practices Understanding of RDBMS, UML, JSON/XML schemas, and project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such as Erwin, Sparx, Visual Paradigm Experience working with ontologies and knowledge of RDF/OWL/TTL Exposure to Python or SQL scripting in support of data model design Knowledge of data governance and enterprise metadata integration strategies Background in working on regulatory or compliance-related data transformation initiatives Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, fl

Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers. These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth. If shaping the future of data-as-a-product excites you, then this opportunity is for you. As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company. You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI. These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster. In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals. By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience. The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio. This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region. Responsibilities Lead Product Strategy and Ownership Define product vision, stra

Build strategies. Shape change. Lead enterprise data transformation. The Role We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape. This is not just about advising — it’s about owning the transformation agenda : defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders. What You’ll Do Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors. Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making. Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms. Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation. Build trusted senior stakeholder relationships , influencing strategic decisions and securing follow-on mandates. Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes. Contribute to thought leadership , industry events, and internal innovation initiatives. What We’re Looking For 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus. Proven expertise across the full data lifecycle , supported by frameworks such as DAMA DMBOK, DCAM, or CDMC. Deep understandin

tl;dr Wielding both "business" and "data" skills, you conduct projects from A to Z in order to transform our clients' businesses. Our working language is English, but it's always easier when you speak the local language(s) ;) The team The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... Manage projects as well as leading our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or a true versatile player. Mission As a data consultant, you will be conducting projects from A to Z to accompany the transformation of our clients’ businesses. It will be up to you and the team will be defining the clients' needs, and the strategy or the solution to be implemented to solve their problem and meet their objectives. You will manage the implementation project of said solutions, sometimes by good old sliding, sometimes by writing a few lines of SQL codes, if you are up to it! You will be a representative of Artefact in business proposals, but also a contributor to our business-relevant contents. The potentials are endless. Desirable skills In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business ... or that's how you see yourself in the near future, contact us! Why should you join us Artefact is the place to be: come and build the future of data and marketing Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone. Action: W

Vault RIM process and system is highly dependent on accurate & complete metadata at all levels and there is also ​an increasing amount of data that Health Authorities are requiring to be tracked and submitted.​ The Regulatory Data Coordinator is responsible for driving key & critical activities within the Pfizer RIM system in support of enabling the assessment and subsequent management of new or required changes (system events). They will specifically review all events initiated across the product lifecycle, completing system impact assessments, and creating Activities, Regulatory Objectives, Submissions to enable GRS to take the necessary actions. The Coordinator also ensures that Event Details, Change Items & Label Concepts are associated and have the appropriate details as well as creating the Global Content Plan in readiness for content authoring across the enterprise. The Coordinator will work with the CMC Product strategist(s), labeling leads, Clinical & Country Regulatory Strategists through a mix of strategic and operational support, demanding a detailed understanding of regulatory system structures, product licences & master data as well as the end-to-end regulatory change management experience within & across domains. Job responsibilities: Manage all RIM events and related records, including event and registration details, ensuring structures and relationships accurately reflect product market registrations, align with master data standards, and remain updated in accordance with health authority decisions. Interpret health authority communications, drive appropriate system updates, notify stakeholders as needed, and collaborate with GRS stakeholders, CMC strategists, PGS, and cross-functional teams to understand and fulfill data requirements. Review and approve data change requests, ensuring compliance with data governance standards, policies, an

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance Ensure data governance and security pro

POSITION SUMMARY Natera is seeking a Data Privacy Manager to support the operationalization and continuous improvement of enterprise privacy capabilities that enable responsible, compliant, and scalable innovation across the organization. This is an individual contributor role that reports to the Director, Data Privacy and partners with cross-functional teams to help embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. This role helps implement scalable solutions that improve privacy operations and visibility into data use. In addition to core privacy responsibilities, this person will contribute to the evaluation of new initiatives and support strategic projects and emerging regulatory requirements across commercial, clinical, and research environments. This role requires a solid foundation in healthcare privacy, clinical research, and technology-enabled healthcare, coupled with the ability to translate regulatory, ethical, and operational requirements into practical solutions that support the business. Regarding culture, we seek people who demonstrate Natera's values, enjoy solving complex problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Management & Governance Support the operationalization of enterprise privacy governance frameworks that enable responsible, compliant, and scalable use of information Partner with Legal, Regulatory, HealthCare Compliance, Security, and AI and Data Governance teams to align privacy requirements with broader governance and risk initiatives Help apply scalable decision-making frameworks and governance processes that support business objectives while maintaining patient trust and regulatory compliance Advise business and technology partners on privacy requirements, emerging risks, and evolving regulations Privacy Technology, Product & Engineering Partnership Support the continuous

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 2000 employees operate in 26 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. What you will be doing As a Senior Engineer in our India office, you will support and develop client data platforms, with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC). Your role would include: Platform maintenance: Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion. Metadata engineering: Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale. Data quality and governance: Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources. Lineage: Map end-to-end data flow across the enterprise, so that data pipelines are visible and trusted. Automation: Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows. Qualifications & Experience Informatica Experience: Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata