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Data Governance Lead

Job in Buffalo, Erie County, New York, 14266, USA
Listing for: Innovative Insight Consulting LLC
Full Time position
Listed on 2026-02-16
Job specializations:
  • Business
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
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.

Role

Data Governance Lead

Duration

6 Months

Document

No 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).
Conduct Cross‑Functional Working Sessions to Build Consensus
  • 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.
Develop Initial Use Cases & Enablement Materials for Early Adoption
  • 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).
Pilot Governance Processes Within Priority Business Areas
  • 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.
Stakeholder Consensus, Decision Support, and Executive Rollout Readiness
  • 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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