Kearney Activate Vice President, Data & AI Strategy
About The Position
As a Vice President at Kearney Activate, you will be a key leader driving data and AI strategy, helping clients unlock measurable business impact through advanced analytics, artificial intelligence, and decision intelligence. Working alongside a diverse and dynamic team, you will guide organizations through complex data and AI transformations, shaping strategy and execution from end to end. In this role, you will bridge ambition and delivery—translating data and AI capabilities into real business outcomes. At Kearney Activate, you will find an entrepreneurial environment where deep technical expertise meets client impact, all supported by the global scale, reach, and reputation of Kearney. With the freedom to lead boldly and recognition for what you bring to the table, you can put your purpose into action and help define the future of data and AI—as a Kearney Original. Position Summary We are seeking an energetic, visionary, and client-focused leader to serve as Vice President of Data & AI Strategy. This is a hands-on executive role at the intersection of business, technology, and innovation. You’ll shape and own major client relationships, lead Data and AI-driven transformations, and define the next generation of data and analytics offerings. While you won’t be coding daily, you must have real depth in data architecture, governance and AI/ML technologies with the ability to guide teams, inspire clients, and roll up your sleeves when needed. This role is about being the bridge: turning ambition into strategy, strategy into delivery, and delivery into measurable growth. Who you are After nearly 100 years, we know this business is fundamentally about making connections—between insights, strategy, technology, and people. That’s why we look for visionary, curious, and client-focused leaders who thrive at the intersection of business and innovation.
Requirements
- An experienced leader with 12+ years in data, analytics, and AI, ideally with a consulting or professional services background.
- Skilled in bridging technology and business, with 5+ years in hybrid delivery and commercial roles leading large-scale, multi-year AI and data transformation initiatives from strategy to execution.
- Deeply knowledgeable about modern data and AI technologies, including machine learning, natural language processing, generative AI, cloud-native architectures, MLOps, data platforms, and governance frameworks.
- Business-minded, with a proven ability to translate data and AI capabilities into measurable impact and sustained client value.
- A strong communicator and storyteller who can influence and inspire executive audiences.
- Resilient, optimistic, and energized by working in fast-paced, high-growth environments.
Nice To Haves
- Educated with an advanced degree in data science, AI, or a related field.
- Experienced in industries such as life sciences, financial services, retail, or manufacturing.
- Recognized as a thought leader or contributor within the data and AI community through speaking, publishing, or industry engagement.
- Knowledgeable about data ethics, responsible AI, and regulatory compliance frameworks.
Responsibilities
- Build trusted C-suite relationships, advising clients on data and AI strategies that unlock measurable outcomes.
- Lead pursuits, proposals, and thought leadership, positioning Activate as the partner of choice for data and AI transformation.
- Represent Activate in the market as a recognized data and AI leader through conferences, publications, and executive forums.
- Shape Activate’s go-to-market strategy for data, analytics, and AI, including packaging, pricing, and positioning of offerings.
- Stay ahead of the curve on emerging data and AI technologies (e.g. data platforms, governance frameworks, generative AI, LLMs, MLOps, and data fabric) and translate them into practical client solutions.
- Drive innovation in areas such as predictive modeling, decision intelligence, data integration, personalization, and responsible AI.
- Embed robust data governance, data quality, and management practices that enable scalable and trusted AI outcomes.
- Advise clients on data platform modernization—covering cloud data ecosystems, data mesh, and real-time analytics—to ensure AI readiness.
- Oversee multiple teams to ensure world-class delivery, governance, and scalability.
- Guide solution architecture and validate critical data and AI designs.
- Step in during pivotal project phases, whether facilitating a data strategy or AI transformation workshop, leading a design sprint, or shaping a prototype.
- Ensure end-to-end data lifecycle excellence—from ingestion and modeling to analytics and AI enablement.
- Attract, grow, and retain top AI and data talent across geographies.
- Champion a culture of innovation, optimism, and growth mindset.Foster cross-functional collaboration and knowledge sharing across the global team.
Benefits
- Competitive base compensation with discretionary performance bonuses
- Comprehensive medical, dental, and vision coverage for employees and immediate family
- Generous retirement and savings contributions
- Non-partner equity-based awards (for consulting managers and above)
- Structured learning and leadership development opportunities
- Personalized flexibility programs, including remote work, talent mobility, and externships
- Access to health, wellness, and family care benefits
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What This Job Offers
Job Type
Full-time
Career Level
Executive
