Lead Consultant, Data Governance
P
phDataModern Data Stack
United States, Latin America, and IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSGCPSnowflakeAzuredbt
Requirements
- 6+ years in data governance, metadata management, or closely related roles.
- 2+ years of consulting leadership with external clients, managing multiple workstreams and priorities.
- Demonstrated ability to facilitate workshops and working groups, and drive alignment on definitions, business rules, and data quality controls.
- Familiarity with governance operating models and stewardship practices.
- Familiarity with privacy regulations (e.g., GDPR, CCPA) and how governance supports compliance.
- Strong technical literacy across governance and metadata capabilities (cataloging, lineage, DQ).
- Strong technical literacy across AI governance concepts and how they connect to AI strategy.
- Adept at making technical and tooling recommendations that are clearly tied to business outcomes and adoption.
- Proven ability to coach and mentor others.
- Proven ability to communicate governance concepts in clear business language, and drive change and adoption.
- Track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery teams (often across global, distributed teams).
- Has repeatedly owned full lifecycle delivery of governance-focused workstreams or engagements as the day‑to‑day Engagement Lead.
- Comfortable managing complex single engagements or a small portfolio, with strong planning, execution oversight, and stakeholder communication.
- Willingness to travel as required by clients.
- Deep experience leading multi‑engagement or multi‑year data governance portfolios as a senior Engagement Lead or Client Principal (Principal level).
- Regularly operates as a trusted advisor to executive teams on governance and risk, with a visible thought leadership profile and a strong track record developing other governance and Engagement Leads (Principal level).
Responsibilities
- Lead data governance engagements end-to-end as the Engagement Lead—framing problems, defining scope, and delivering outcomes across operating model, stewardship, data quality, metadata, and tooling.
- Facilitate governance working groups and forums that align business and technology stakeholders, drive decisions on definitions, business rules, and data quality controls, and ensure ownership by data stewards.
- Execute and embed metadata and data quality processes (cataloging, lineage, stewardship workflows, profiling, monitoring, and issue management) into analytics workflows, models, and data platform pipelines.
- Support selection, rollout, and adoption of governance and metadata tools (e.g., Collibra, Alation, Atlan, Purview), making recommendations that clearly tie to business outcomes.
- Partner on access, privacy, and compliance, ensuring governance practices support regulations (e.g., GDPR, CCPA) and broader data/AI governance standards.
- Coach client staff on data stewardship, and prepare clear presentations, training materials, and adoption guides that explain governance in business language.
- Focus on day-to-day delivery for one or more complex but bounded data governance engagements, managing plans, timelines, risks, and stakeholder communication.
- Translate governance strategy into concrete plans and workstreams—including working groups, policies/standards, glossaries, rules, and controls—with hands-on co‑creation alongside client teams.
- Own the quality and readiness of deliverables (operating model, definitions, DQ rules, playbooks) and provide direct coaching to client stewards and project team members.
- Co‑own account and governance strategy with Client Account Leads and Technical Account Leads, connecting the governance roadmap to the client’s broader data/AI strategy and account growth (Principal level).
- Serve as a trusted advisor to executive stakeholders on governance, risk, and compliance, and play a senior role in critical pursuits and external thought leadership (Principal level).
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