Shape how data powers decision‑making across a global organization. You’ll lead high‑impact initiatives that make critical data trustworthy, accessible, and AI‑ready. You will partner with senior leaders to modernize data management practices, drive adoption of standards, and launch products and platforms that scale. Join us to build a data‑first culture and deliver tangible business outcomes.
As a Vice President, Data Management Strategy in the Internal Audit Chief Data Office, you will define the data vision and target state, set priorities for strategic initiatives, and deliver actionable plans that improve data quality, authority, and usability. You will collaborate across business and corporate functions, translate complex concepts into clear narratives, and influence outcomes in a consensus‑driven environment. Your work enables trusted data for analytics, reporting, and AI use cases.
Job responsibilities
- Define and communicate the target‑state data strategy and convert it into actionable plans and roadmaps.
- Establish scope, sequencing, and prioritization for data management initiatives aligned to business value and AI readiness.
- Apply structured problem‑solving and design thinking to address top strategic priorities and remove delivery barriers.
- Lead adoption of data standards, data authority at source, and operating models that improve accessibility and reuse.
- Develop executive‑ready presentations and narratives; synthesize complex analyses into clear recommendations.
- Gather and analyze information, form and test hypotheses, and deliver data‑driven insights and options for senior leaders.
- Build strong cross‑functional relationships and influence decisions in a consensus‑driven environment.
- Conduct competitor and industry research; monitor trends and brief leaders with concise, insight‑rich updates.
- Partner with product and platform teams to shape data products, governance capabilities, and scalable solutions.
- Manage multiple workstreams and timelines with strong project management discipline.
Required qualifications, capabilities, and skills
- Bachelor’s degree in business, finance, economics, math, engineering, data science, or related field, or equivalent experience.
- 10+ years of industry experience in data, analytics, or product roles with proven strategy execution responsibility.
- Demonstrated expertise in quantitative and conceptual problem‑solving, including hypothesis‑driven analysis.
- Experience in a management consulting firm, technology company, banking division, or internal strategy group with measurable outcomes.
- Excellent written and verbal communication skills with a track record of influencing cross‑functional stakeholders and executives.
- Strong project management and organizational skills with the ability to manage multiple priorities under tight timelines.
- Proficiency with Excel and PowerPoint to analyze data and create executive‑ready materials.
- Familiarity with AI and data management concepts, with the ability to translate complex topics for diverse audiences.
Preferred qualifications, capabilities, and skills
- Experience with data management and governance practices, big data platforms, or data architecture.
- MBA or advanced degree from a highly regarded program