Data Governance Lead

Functional role: Data Governance Lead

Work Location: Onsite in East Aurora NY

Duration: 6 months - CTH

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.