Data Literacy Lead

Primary Responsibilities

• Develop a multi-year data literacy roadmap that aligns to business priorities, analytics maturity, and governance standards.
• Define target audiences, competency levels, and success measures.
• Maintain an execution plan with clear milestones and stakeholder commitments.
• Create and deliver blended learning (live sessions, recorded modules, office hours, and job aids) covering foundational concepts (data definitions, KPIs), quality, visualization) through advanced topics (analysis techniques, storytelling, responsible AI/data use).
• Tailor content by role and toolset (e.g., BI dashboards, Excel, self-service analytics).
• Partner with leaders and functional teams to embed data-informed practices in routines (tier meetings, problem-solving, KPI reviews).
• Build and manage a network of data champions; run office hours and targeted coaching to improve interpretation of metrics and drive consistent use of trusted dashboards.
• Drive adoption through coaching, champions network and change management.
• Collaborate with Data Governance, BI/Analytics, and process owners to reinforce common definitions, KPI logic, and documentation so learners are trained on consistent metrics.
• Identify high-friction areas (confusing terminology, duplicate reports, low trust data) and help coordinate remediation and communications.
• Partner to improve data accessibility, definitions, and measurement standards.
• Track participation, completion, proficiency, and adoption metrics; gather feedback from learners and leaders; and report progress to stakeholders.
• Use results to iterate curriculum, delivery methods, communications, and tooling guidance.

Minimum Qualifications

• Bachelor’s degree in Business, Analytics, Information Systems, Learning & Education Studies or Information Technology, with at least 5 years of relevant experience.
• Non-degree considered if 12+ years of related experience along with a high school diploma or GED.

Preferred Qualifications

• Experience building training programs and learning content for adult learners.
• Experience in data/analytics, business intelligence, training/enablement, or process improvement.
• Strong data visualization and storytelling skills; familiarity with self-service BI tools and common analytics workflows.
• Understanding of data governance concepts (definitions, lineage, quality, security/privacy).
• Experience in manufacturing/operations environments.