Public listing
VP of Data Innovation
- Experience10+ yrs
- Work modeYes
- ListedPosted 1 day ago
- SourceLinkedin
Role overview
About the role
Description supplied by the original job listing.
Role Description The VP of Data Innovation is a full-time, remote leadership role responsible for defining and executing the organization’s data innovation strategy. This role leads cross-functional initiatives to identify high-impact data opportunities, design experiments, and scale successful solutions across products, operations, and customer-facing functions. Day-to-day responsibilities include overseeing advanced analytics projects, guiding data research efforts, and building strategic partnerships that expand the organization’s data capabilities and ecosystem. The VP will collaborate with executive leadership to align data initiatives with business goals, prioritize projects, and establish measurable outcomes. This role also involves mentoring data and analytics teams, setting standards for data governance and ethical use of data, and communicating insights and recommendations to senior stakeholders.
Qualifications
Strong Analytical Skills and experience transforming complex data into clear insights and strategic recommendations.
Proven Strategic Planning and innovation leadership, including building and executing multi-year data roadmaps.
Demonstrated Project Management capabilities, overseeing cross-functional data initiatives from concept to implementation.
Experience developing and managing Strategic Partnerships that enhance data, analytics, or technology capabilities.
Research expertise in data-driven experimentation, hypothesis testing, and evaluating new data tools or methodologies.
Extensive leadership experience in data, analytics, or related fields, ideally in a senior or executive role.
Advanced knowledge of modern data platforms, business intelligence tools, and analytics frameworks.
Excellent communication and stakeholder management skills, with the ability to influence at the executive level.
Commitment to ethical data use, privacy, and responsible AI or analytics practices.
Relevant advanced degree (e.g., in Data Science, Statistics, Business, Computer Science, or related field) or equivalent experience.
Skills
Project Management
Experience
10+ yrs
Work arrangement
Yes
Skills from the listing
- Project Management
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