Director of Data, Analytics, and AI | Remote | Michigan or Minnesota Preferred Role Snapshot: - Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice.
- Build the Practice: Stand up and scale offerings, capabilities, and team from the ground up.
- Drive Growth: Deliver revenue expansion and measurable client impact.
- Lead in the Market: Establish Vervint's presence and thought leadership in Data & AI.
- Bring a Network: Leverage existing client relationships and/or a strong market presence to accelerate growth.
As the Director of Data, Analytics & Artificial Intelligence (AI), you will lead the development and execution of Vervint's Data, Analytics & AI Practice. This is a builder role-responsible for defining service offerings, forming strategic partnerships, and driving both new business and client expansion.
Reporting to the President & Chief Consulting Officer, this leader is accountable for positioning Data & AI as a core growth engine for the firm. You'll bring a mix of strategic vision, hands-on leadership, and technical expertise to deliver meaningful outcomes for clients while building a differentiated, scalable practice.
What You'll Accomplish: Strategy & Leadership - Define and own the firm's data, analytics, and AI vision, strategy, and roadmap.
- Define and execute the vision, strategy, and roadmap for the Data and AI Practice, including service offerings, go-to-market strategies, and operational capabilities.
- Represent Vervint at industry events, conferences, and webinars to showcase expertise in Data and AI.
- Advise ELT on data-driven decision-making and AI opportunities that align with our business objectives.
- Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and Talent.
Client-Facing Innovation - Identify, engage, and acquire new customers by leveraging industry relationships, market insights, and sales strategies to drive revenue growth.
- Serve as a strategic advisor and thought leader to clients on data and AI solutions.
- Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies that address market demands and customer needs.
- Establish and maintain relationships with key technology providers, vendors, and industry stakeholders to enhance the practice's capabilities.
- Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to-market strategies.
Team Building & Capability Development - Build and lead a high-performing team of data scientists, analysts, and engineers.
- Promote a culture of innovation, experimentation, and continuous learning in data and AI.
- Drive upskilling and data literacy across the organization.
AI IP & Emerging Technologies - Lead development of reusable frameworks, models, and IP that can be leveraged across client engagements.
- Evaluate and recommend emerging tools and technologies for AI, data engineering, and analytics.
Governance & Ethical AI - Ensure responsible, ethical, and compliant use of data and AI.
- Develop internal policies and frameworks for fairness, transparency, and risk mitigation in partnership with the internal IS team.
What You'll Bring: - A balance of strategic thinking and hands-on leadership.
- Experience in business development, sales, and revenue growth strategies.
- Ability to craft compelling proposals and present Data and AI solutions to executive-level stakeholders.
- Passion for innovation and measurable impact.
- Ability to bridge business strategy and technical execution.
- A collaborative, entrepreneurial mindset aligned with a fast-paced, high-growth environment.
- Proven success developing, executing, and selling enterprise data and AI strategies.
- Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI technologies.
- Track record of building high-performing technical teams and scaling capabilities.
- Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders.
Education/Experience: - 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment.
- Bachelor's degree in a related field required; Master's in Data Science, Computer Science, Engineering, or related field strongly preferred.
