Lead, Data Platform Strategist

Qualifications

• Enterprise-Scale Delivery Experience: A track record of leading large, complex customer engagements or transformation programs
• People Leadership: Track record of leading cross-functional teams and mentoring others
• Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences
• Strategic Leadership: Ability to frame high-level business challenges and guide strategic decision-making
• Customer-Centric Mindset: Deep empathy for users and ability to identify solutions that create tangible, lasting business impact
• Technical Acumen: Proficiency in programming or data analysis tools and solid understanding of AI/ML concepts
• Passion for AI: Belief in AIs transformative potential and desire to help shape its responsible application
• Bias for Action: Comfortable with ambiguity and capable of turning vision into structured execution

Responsibilities

• As an AI Strategist Lead at Distyl AI, you will oversee the development of complex, high-impact customer engagement solutions
• Executive Engagement: Build trust with senior stakeholders and act as a strategic thought partner
• End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery
• Ai Strategy & Value Discovery: Identify valuable problems to solve and align solutions to ROI
• Team Leadership: Jointly lead teams of engineers, researchers, and AI Strategists
• Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards
• Change Management & Adoption: Drive onboarding, user adoption, and change management
• Platform Influence: Represent the customers voice to the Platform team

Full Description

Job Description

As an AI Strategist Lead at Distyl AI, you will oversee the development of complex, high-impact customer engagement solutions.

Key Responsibilities:

• Executive Engagement: Build trust with senior stakeholders and act as a strategic thought partner.

• End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery.

• Ai Strategy & Value Discovery:Identify valuable problems to solve and align solutions to ROI.

• Team Leadership: Jointly lead teams of engineers, researchers, and AI Strategists.

• Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards.

• Change Management & Adoption: Drive onboarding, user adoption, and change management.

• Platform Influence: Represent the customers voice to the Platform team.

Requirements

• Enterprise-Scale Delivery Experience: A track record of leading large, complex customer engagements or transformation programs.

• People Leadership: Track record of leading cross-functional teams and mentoring others.

• Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences.

• Strategic Leadership: Ability to frame high-level business challenges and guide strategic decision-making.

• Customer-Centric Mindset: Deep empathy for users and ability to identify solutions that create tangible, lasting business impact.

• Technical Acumen: Proficiency in programming or data analysis tools and solid understanding of AI/ML concepts.

• Passion for AI: Belief in AIs transformative potential and desire to help shape its responsible application.

• Bias for Action: Comfortable with ambiguity and capable of turning vision into structured execution.