Description
About This Role As the Director of TPM, Enterprise , you are not just managing programs; you are the architect of a new organizational capability. You will be responsible for building, scaling, and leading a world-class TPM team from the ground up . Your mission is to establish the strategic framework for how we execute enterprise-grade initiatives, ensuring data quality, operational efficiency, and the seamless integration of AI capabilities across all business units. You will act as a strategic partner to Engineering and Product leadership, transforming high-level business vision into a rigorous, scalable execution engine. This is a high-stakes leadership role requiring a blend of deep technical fluency (particularly in ML/AI lifecycles), organizational design, and the ability to influence at the highest levels of the company. Key Responsibilities - Team Building & Leadership: Recruit, hire, and mentor a high-performing team of Technical Program Managers. Define the team’s culture, operating model, and career development paths. - Strategic Roadmap Ownership: Define the long-term execution strategy for Enterprise programs, ensuring alignment with company-wide OKRs and product milestones. - Organizational Design: Establish standardized processes for program delivery, risk management, and cross-functional communication that can scale with the company's growth. - Cross-Functional Orchestration: Serve as the primary bridge between Engineering, Product, and Executive leadership. Resolve high-level dependencies and resource conflicts across Platform, Data, and Product teams. - Executive Communication: Translate complex technical roadmaps and GenAI initiatives into clear business outcomes, risk profiles, and delivery forecasts for the C-suite and Board. - Operational Excellence: Drive the adoption of enterprise-grade standards for data quality and infrastructure reliability. Ensure that "Enterprise" isn't just a label, but a measurable standard of excellence across all BUs. Ideally You’d Have - 10+ years of experience in Technical Program Management or Engineering Leadership, with at least 4+ years in a people management capacity leading other TPMs or Engineers. - Proven track record of building teams from scratch in high-growth, fast-paced environments (e.g., Series C through IPO or within a major tech incumbent). - Deep expertise in the AI/ML lifecycle , including LLM fine-tuning, performance evaluation, and the infrastructure requirements for deploying GenAI at scale. - Expert-level Stakeholder Management: Ability to navigate complex organizational politics and drive consensus among diverse technical and non-technical leaders. - Systems Thinking: The ability to look beyond individual projects to see the broader technical ecosystem and identify "force multipliers" for the organization. - Strategic Tooling Proficiency: Experience implementing enterprise-level planning and tracking frameworks (e.g., Jira Align, specialized roadmap software, or custom internal dashboards). Nice to Have <li&