Data Governance Lead

Greetings! Please review the available role below. If you are interested, kindly send your CV to info@innovativeinsightconsultingllc.com We look forward to connecting with qualified candidates. Role:               Data Governance Lead Location:         Onsite (East Aurora, NY (near Buffalo) 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 workstreams 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. ·       Define and document 3–5 high‑value, low‑friction use cases (e.g., product structure accuracy, engineering change lineage, supplier quality traceability, shop‑floor data validation). ·       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). Establish DG Technology Enablement Requirements 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.