Cio Jobs

About The Position

Requirements

• Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders.
• Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments.
• Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field.
• Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP).
• Proven success in developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements.
• Develop and drive a strategic vision for AI transformations across our customers, including product management for applied AI projects, organizational change management for the adoption of AI, and mapping and aligning with key stakeholders.
• Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML.
• “Company-first” mindset.

Nice To Haves

• Experience in a customer-facing consulting or professional services leadership role.
• Experience working with Databricks.

Responsibilities

• Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale.
• Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations.
• Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions.
• Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team.
• Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy.
• Own OKRs for AI-services led accounts, revenue, utilization, and public references.
• Represent Databricks as a thought leader in AI/ML.