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Data Governance Lead

Job in Buffalo, Erie County, New York, 14266, USA
Listing for: Innovativeinsightconsultingllc
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    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

Drive enterprise agreement and readiness through targeted workshops:

  • 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

Demonstrate rapid value while validating the governance model before full‑scale rollout.

  • 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

Ensure all stakeholders agree on the future state before broader implementation.

  • 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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