Define and own the enterprise AI strategy and multi-year roadmap aligned to company objectives.
Identify high-impact AI opportunities that drive revenue, differentiation, and customer outcomes.
Partner with Product and Commercial leadership to embed AI into core product strategy.
Lead build vs. buy decisions, model selection, vendor strategy, and platform choices.
Establish success metrics and ROI models for AI investments.
Act as the executive AI spokesperson externally with customers, partners, and analysts.
Lead strategic roadmap discussions with enterprise clients and prospects.
Support Sales and Customer Success in pre-sales, executive briefings, and solution positioning.
Represent the company at industry events, advisory boards, and customer forums.
Incorporate market and competitive intelligence into product strategy.
Serve as the senior bridge between Product and Engineering for AI initiatives.
Provide hands-on leadership by:
Reviewing architectures and solution designs
Validating model choices and data strategies
Guiding MLOps and deployment patterns
Sponsor and oversee POCs and pilots, ensuring rapid path to production.
Define AI governance standards covering security, bias, hallucination risk, privacy, and compliance.
Ensure AI capabilities align with pricing models and unit economics.
Build strategic partnerships with cloud providers, AI vendors, and research institutions.
Evaluate emerging technologies for commercial viability and competitive advantage.
Champion a culture of innovation across Product and Engineering organizations.
Establish internal innovation programs and capability-building initiatives.

Requirements

8+ years in product, engineering, or technology leadership, with senior-level accountability.
Proven ownership of enterprise product roadmaps and large-scale initiatives.
Strong technical foundation in AI/ML and GenAI (able to review, challenge, and guide implementations).
Demonstrated experience working directly with C-level customers and enterprise stakeholders.
Strong business acumen around AI cost models, pricing strategy, and ROI.
Exceptional executive communication and influence skills.
Deep understanding of data privacy, IP protection, and responsible AI practices.
Experience in SaaS, Life Sciences, or regulated industries.
Prior leadership of AI transformation programs.
Experience building external partnerships and vendor ecosystems.

Benefits

Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools

AI strategymulti-year roadmapmodel selectionMLOpsdata strategiesAI governance standardsROI modelsAI/MLGenAISaaS

Soft Skills

executive communicationinfluence skillsbusiness acumenleadershipinnovationcollaborationstrategic thinkingcustomer engagementproblem-solvingstakeholder management