Description
As the Director of TPM, Enterprise, 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 executing enterprise-grade initiatives, ensuring data quality, operational efficiency, and 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), organisational design, and the ability to influence at the highest levels of the company.
Key responsibilities include:
- 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.
- Organisational Design: Establish standardised 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.
Ideal candidates will 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 organisational 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 organisation.
- Strategic Tooling Proficiency: Experience implementing enterprise-level planning and tracking frameworks (e.g., Jira Align, specialised roadmap software, or custom internal dashboards).
Nice to have:
- Engineering Background: A background as a Software or ML Engineer, providing the 'technical gravity' needed to earn the respect of senior architects and principals.
- Platform-First Mindset: Experience building and driving adoption of internal developer platforms or horizontal services used by thousands of internal stakeholders.
- Change Management Expertise: Proven ability to lead large-scale organisational shifts in methodology or technical architecture.
This role may be eligible for additional benefits such as a commuter stipend.