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Data Governance Lead
Job in
Buffalo, Erie County, New York, 14266, USA
Listed on 2026-02-16
Listing for:
Innovative Insight Consulting LLC
Full Time
position Listed on 2026-02-16
Job specializations:
-
Business
Data Analyst, Data Scientist
Job Description & How to Apply Below
Greetings! Please review the available role below. If you are interested, kindly send your CV to info@innov We look forward to connecting with qualified candidates.
RoleData Governance Lead
Duration6 Months
DocumentNo Restriction
Job Description Overview of project/skills required Finalize DG Framework and Enterprise Alignment- Translate the strategy and roadmap into an actionable, enterprise‑ready Data Governance (DG) framework.
- Validate policy set, standards, and operating model with cross‑functional leaders (Engineering, Quality, Supply Chain, IT, Program Management).
- Incorporate feedback from SME interviews, workshops, and Project Titan work streams to ensure the framework supports PLM, D365, and MES integration requirements.
- Produce the “DG Operating Guide” and supporting materials (RACI, workflows, escalation paths).
- Facilitate deep‑dive sessions on priority domains (e.g., product data, configuration, part master, manufacturing instructions, supplier/quality).
- Align ownership roles (Data Owners, Stewards, Custodians) and confirm decision rights for each data domain.
- Build clarity on required behavioral changes, org impacts, and process modifications necessary for rollout.
- Translate governance principles into practical, Titan‑aligned use cases.
- Produce template sets: glossary entries, quality rules, lineage diagrams, issue‑management processes.
- Finalize enablement artifacts (quick‑start guides, steward playbooks, onboarding materials).
- Execute a lightweight pilot in 1–2 high‑impact areas (likely Engineering + Operations or Engineering + Quality).
- Test processes such as data creation controls, approvals, data quality checks, metadata capture, and change workflows.
- Measure pilot outcomes using defined KPIs (accuracy, reduction of rework, cycle‑time improvements, fewer discrepancies between PLM/D365/MES).
- Bridge governance processes with enabling tooling decisions.
- Clarify metadata, lineage, quality, and workflow capabilities required to support the future PLM/D365/MES architecture.
- Document functional requirements to support system integration and any potential future catalog or MDM evaluation.
- Provide guidance for aligning governance processes with Project Titan digital thread goals.
- Summarize pilot results and final recommendations for the DG model, policies, and phased rollout.
- Support leadership sign‑off by illustrating measurable value, risk reduction, and operational impacts.
- Prepare executive‑ready communications to socialize the DG program across the enterprise.
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