Microsoft Data Governance Lead 

United States, Washington 

507749741

Required Qualitifcations:

• Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development

  • OR equivalent experience.

• 4+ years people management experience.

• 3+ years experience managing cross-functional and/or cross-team projects.

• Experience in construction/capital projects, integrating Engineering, Procurement, Construction, and Finance processes (e.g., Procure to Pay, Cost Management, Cost Accounting).
• Expertise in data governance, master data management (MDM), and data quality assurance, including knowledge of industry standards and best practices.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree AND 10+ years experience in engineering, product/technical program management, data analysis, or product development

  • OR equivalent experience.

• 4+ years people management experience.

• 8+ years experience managing cross-functional and/or cross-team projects.

• 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos).

• Proven ability to lead and influence cross-functional teams indirectly.
• Effective communication and interpersonal skills.
• Experience with centralized data catalog implementation, enterprise data access controls, data lineage, and data sharing.
• Skilled in planning and executing cutover and data migration plans while managing project risks.
• Experience in leading software project implementations and complex system migrations across cross-functional teams.
• Analytical skills with expertise in MDM platforms and data-driven insights.
• Knowledge of ERP integrations and orchestrations with other technology tools.
• Ability to work effectively in a fast-paced, dynamic environment.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until January 30, 2025.

• Program Goal Definition and Risk Management: Provide expertise to define and prioritize program goals for Project Controls master data, translating organizational needs into actionable deliverables. Guide teams in proactive and reactive risk management using data-driven insights.

• Data Architecture and Integration: Collaborate with Software Engineering to design and implement integrated data architecture solutions that meet technical needs for Project Controls master data.

• Performance Metrics and ROI: Define success criteria and performance metrics (e.g., OKRs, KPIs) for master data. Work with engineering teams to ensure telemetry is developed and provide expertise to understand return on investment.

• Roadmap and Resource Planning: Partner with engineering to develop and execute the master data management roadmap, align data across the EPC organization, and advocate for resource allocation and capacity planning.

• Project Schedule Management: Oversee project schedules, milestones, and dependencies for master data management. Ensure accountability for processes and adjust plans to address deviations from goals or timelines.

• Data Governance: Develop and implement governance programs to ensure data quality, compliance, and security throughout the lifecycle. Conduct audits to maintain adherence to policies and industry standards.

• Stakeholder Engagement: Act as a technical advisor to educate stakeholders, gather feedback, and improve user experiences with Project Controls master data. Lead teams to deliver enablement and field support.

• Master Data Lifecycle Ownership: Monitor and manage the master data lifecycle across systems and processes, ensuring accountability for root-cause analysis and improvements in data usage and support processes.

• Insights and Continuous Improvement: Leverage performance metrics, telemetry, and customer feedback to derive insights, test hypotheses, and implement measurable improvements in master data processes.

• Collaboration and Training: Work collaboratively with cross-functional teams to align data management strategies. Provide training on governance, tools, and best practices to promote data quality and consistency.

• Other
  • Embody Microsoft’s and