Data Governance jobs
28 open roles for data governance, updated continuously as employers post them.
Of the 10 that state pay, the middle one advertises $84,500 – $167,500 a year.
Hiring most here right now:
Global Clinical Operations AI Product Director
A hybrid director-level AI product role at Novartis in East Hanover, NJ, leading AI product delivery for global clinical operations.
Data Engineer
A data management analyst role in Hyderabad building data quality and governance foundations for Novartis's AI initiatives in Corporate Affairs. Suited to experienced data governance professionals with exposure to AI platforms and toolchains.
AD, Data Science
An Associate Director data science role in Hyderabad leading GenAI and agentic AI initiatives for Novartis's business problems. Suited to senior data scientists with production LLM engineering and team leadership experience.
Data Quality Expert - Data Platforms
A data quality and observability role at Roche in Hyderabad, working across IT and business teams to define and enforce data quality standards, suited to candidates with 2-5 years of relevant experience.
Associate Director - Technical Data Product Owner
A hybrid Associate Director role owning a pharmacy data platform product at Eli Lilly's Indianapolis headquarters, suited to an experienced technical product owner in regulated healthcare data.
Senior Principal Enterprise Information Architect (Remote)
A fully remote, principal-level enterprise information architecture role at Prime Therapeutics focused on client and member data domains.
Data Steward: Personal Lines Product, Pricing and Underwriting data domain
A data governance leadership role at Liberty Mutual Insurance covering the Personal Lines Product, Pricing and Underwriting data domain, hybrid or remote within the US.
Data Protection Specialist
A hybrid data protection specialist role in Toronto leading privacy assessments and controls for Fidelity Canada's investment services. Suited to an early-career privacy professional with at least a year of relevant experience and current Canadian work authorization.
Biotech Health Data Governance Lead
A remote freelance data governance role for biotech and clinical trial data, feeding AI training pipelines. Suits an experienced life sciences data governance professional comfortable working independently.
Senior Scientist - Translational Safety & Risk Sciences (TSRS)
A senior scientist role at Amgen in Washington D.C. building data infrastructure and dashboards to support translational safety research. Suited to a scientist or data scientist comfortable bridging biology, data engineering, and AI/ML.
Ingénieur(e) de données
A data engineering role at law firm Fasken, building and governing Microsoft Fabric-based data warehouses, pipelines and reporting. Suits a data engineer with 4+ years of experience and strong SQL/Python and Azure skills.
Analyst, Data Governance
A remote, Canada-based data governance analyst role building data quality standards and metadata management for a large organization.
Senior Director Global Development Solutions
A senior technology leadership role in Hyderabad building AI and digital solutions for Regeneron's Global Development functions. Suits an experienced pharma technology leader with GxP and Global Capability Center expertise.
Sr. Data Analyst, Data & Audit Readiness
A senior data analyst role at Kraken focused on audit readiness, building data pipelines and dashboards for internal audit, based in Canada.
Senior Data Engineer (Oracle)
A senior data engineering role migrating financial data from Oracle databases into Oracle ERP for a digital engineering firm, hybrid out of Costa Rica.
Senior Data Engineer
Senior Data Engineer role for building production data platforms, ingestion pipelines, warehouses, APIs, and distributed backend systems in a Pan-India hybrid setup. The position suits an engineer with five or more years of experience and strong Python, SQL, cloud, and production-ownership skills.
Data Engineer, Data Platform & ML (Remote)
A Poland-remote Data Engineer role building a cloud-based corporate data warehouse for business analytics and machine learning. It suits a data engineer with at least three years of experience in Python, SQL, warehouse design, and modern data tooling.
Data Engineer, Data Platform & Machine Learning (Remote)
A Serbia-remote data engineering role building Tabby's corporate data warehouse, data integrations, and pipelines. It is intended for a data engineer with warehouse design, Python, SQL, and cloud data-stack experience.
Knowledge Graph SME
Tiger Analytics needs a senior Toronto Knowledge Graph SME to build an enterprise Neo4j graph and integrate it with data-governance practices. The role requires at least six years of practical knowledge-graph and governance delivery experience, plus advanced Cypher skills.
Data Engineer
An onsite London data-engineering role for someone who can build reliable cloud data products in multidisciplinary client teams. SC clearance eligibility is a key requirement alongside SQL, Python, and modern data-platform experience.
Senior/Principal Data Solutions Analyst
A USA-based finance data stewardship role supporting Liberty Mutual's Finance Data Platform. It fits data professionals with coding, warehousing, governance, and cross-functional delivery experience.
Lead Data Consultant - Microsoft Fabric Analytics
A Wellington-based lead analytics consulting role focused on Microsoft Fabric, Power BI, governed metrics, and semantic models. It fits experienced consultants who can lead client discovery and own analytics delivery through adoption.
Enterprise Applied AI Solutions Engineer
Onsite Bengaluru role for an applied AI engineer building RAG-based agents, copilots, and other generative AI features for enterprise workflows. The role suits someone who can connect technical delivery with stakeholder feedback, governance, testing, and adoption.
Senior Artificial Intelligence/Machine Learning Engineer
Senior AI and Machine Learning Engineer role in Noida for an engineer with at least 5 years of production ML experience. The position combines classical machine learning, LLM workflows, AWS deployment, data preparation, and Java/Spring integration.