Program management fundamentals (planning, timelines, risks, dependencies, and stakeholder updates)
Clear communication and facilitation (running workshops, resolving conflicts, gaining agreement)
Process design and improvement (mapping current steps, simplifying approvals, reducing rework)
Data governance basics (data ownership, decision rights, standards, and policies)
Data quality management (how to measure quality and prioritize fixes)
Understanding of common master data domains (customer, product, supplier, location)
Comfort working with technical teams (integrations, data pipelines, APIs—at a high level)
Reporting and metrics (building dashboards, defining KPIs for data outcomes)
Change management (training, communications plans, adoption measurement)
Vendor and tool evaluation (requirements, demos, scoring, contract basics)