Data Governance Lead - Remote

Korn Ferry; Chicago (IL); Remote; USD 125,000 - 150,000; Full time

Job summary

An established industry player is seeking a Data Governance Lead to drive the development of a comprehensive Enterprise Data Governance Program. This pivotal role involves conducting maturity assessments, defining strategic visions, and creating actionable roadmaps to enhance data governance practices. The ideal candidate will possess deep expertise in data governance frameworks and a proven track record of engaging with C-suite executives. Join a dynamic team where your strategic insights will shape the future of data governance and ensure alignment with organizational goals. If you thrive in fast-paced environments and are passionate about data management, this opportunity is perfect for you.

Qualifications

• 5-7 years of experience in data governance or enterprise data management.
• Certification in data governance or management frameworks is highly desirable.

Responsibilities

• Conduct a data governance maturity assessment and document current state.
• Define future state vision and develop an execution plan for data governance.

Skills

Data Governance Expertise

Strategic Visioning

Organizational Design

Policy and Process Development

Technology Proficiency

Project Management

Analytical and Problem-Solving

Communication and Stakeholder Management

Adaptability

Education

Bachelor’s degree in Data Science, Computer Science, Business Administration

Master’s degree (preferred)

Tools

Data management tools

Metadata management systems

Data quality tools

Master data management (MDM) platforms

Job description

Salary: USD80 - USD100 per hour

Title: Data Governance Lead (Remote)

Location: Remote

Compensation: $80- $100/hr.

We have partnered with our client in their search for a Data Governance Lead. The Data Governance Lead will spearhead the development of a comprehensive Enterprise Data Governance Program. This individual will be responsible for conducting a data governance maturity assessment, defining a future state vision, and creating a roadmap to guide the organization toward effective data governance practices. The role requires strategic thinking, organizational design expertise, and a strong understanding of data governance frameworks to successfully deliver high-impact outcomes that align with organizational objectives.

Responsibilities

1. Maturity Assessment: Conduct a data governance maturity assessment using an industry-recognized framework (e.g., Gartner, IBM) and deliver a comprehensive document outlining the current state of enterprise data governance.
2. Future State Vision: Define the future state of data governance maturity aligned with the organization’s strategic goals, including recommended metrics and KPIs to measure progress.
3. Organizational Structure Design: Develop a recommended organizational structure for data governance, including roles, responsibilities, and resource requirements. Provide detailed role descriptions, an organization chart, and investment recommendations.
4. Policy and Process Development: Identify existing policies and processes that need modification and draft new policies and processes to achieve the desired future state. Provide a detailed listing with updates and drafts.
5. Technology and Tools Evaluation: Assess current systems and tools to automate and enforce data-related policies and processes. Recommend additional tools or changes, including estimated procurement, implementation, and ongoing costs.
6. Execution Plan: Develop a detailed, actionable plan to transition from the current state to the future state, including a list of activities, assigned roles, effort estimates, dependencies, timelines, and training plans for personnel.
7. Stakeholder Engagement: Collaborate with the CIO and other key stakeholders to pitch the project proposal to executive leadership, ensuring alignment with organizational objectives.
8. Documentation and Reporting: Create executive-ready documentation, including reports, presentations, and analysis summaries, to support decision-making and secure leadership buy-in.

Skills Required

1. Data Governance Expertise: In-depth knowledge of data governance frameworks (e.g., DAMA-DMBOK, Gartner, IBM).
2. Strategic Visioning: Ability to define and articulate a future state vision with clear metrics and KPIs.
3. Organizational Design: Expertise in creating governance structures, including role definitions and resource planning.
4. Policy and Process Development: Proven ability to develop and modify data-related policies and processes.
5. Technology Proficiency: Familiarity with data management tools, metadata management systems, data quality tools, and master data management (MDM) platforms.
6. Project Management: Strong skills in creating roadmaps, managing dependencies, resource allocation, and executing plans effectively.
7. Analytical and Problem-Solving: Proficiency in conducting gap analyses and crafting actionable recommendations.
8. Communication and Stakeholder Management: Exceptional ability to communicate complex ideas clearly and concisely, both verbally and in writing.
9. Adaptability: Experience working in fast-paced environments with a proactive and solution-oriented approach.

Education & Work Experience

• Bachelor’s degree in Data Science, Computer Science, Business Administration, or a related field (Master’s degree preferred).
• Minimum of 5-7 years of experience in data governance, enterprise data management, or a similar role.
• Demonstrated experience conducting data governance maturity assessments and defining future state visions.
• Proven track record of working with C-suite executives and other senior stakeholders.
• Certification in data governance or data management frameworks (e.g., CDMP, DGSP) is highly desirable.
• Prior experience in enterprise-scale organizations with complex data landscapes.
• Ability to work independently and take ownership of deliverables.
• Ability to create executive-ready documents, including maturity assessments, organizational charts, and project plans.
• Skilled in developing presentations and reports that succinctly convey the business case for data governance initiatives.
• Experience delivering pitches to executive leadership to secure buy-in.
• Proven track record of driving initiatives from concept to execution.