Lead Technical Program Manager (Data, Product & Strategy)

As the Lead Technical Program Manager for Data at Wayve, you'll build and lead the technical program management function for our Data org - the data platform, ingestion, standardisation pipelines, and the enrichment, curation, and labelling that fuel the AI Driver The data corpus is also critical for teams working on simulation and validation You'll be the delivery partner to engineering leadership for data teams and drive the department wide objective to make valuable data immediately and reliably usable You will leading flagship programs yourself while supporting and coaching a small, high-impact TPM team Your impact is measured in data quality, throughput, cost, and how predictably the data that powers every model lands A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar Own data delivery: Partner with Data leadership on planning, prioritisation, and execution across the data roadmap Trusted partner for Engineering: You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account Drive flagship programs directly: Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews Align cross-functionally: Work with data, ML, engineering, and external data / annotation suppliers; manage dependencies, risk, and trade-offs Connect to outcomes and represent the data org: Tie delivery to data quality, throughput, cost, and time-to-insight, and represent the data org in company-level reviews Benefits Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family. Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind. Mental health resources: Through Spill, you can access therapy and mental health support. Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun. Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success. Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth. Qualifications (The first four are our must-haves.) Clear, data-driven communicator: You set direction with clarity and steer with the right metrics Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models Experience with data ingestion from raw data to processing through different stages and pipelines. Understands Directed Acyclic Graphs, their usage and challenges Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity Exceptional cross-functional leadership: You align and influence across data, ML, and engineering without relying on authority Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex Technically strong: Credible with engineers on data platforms, pipelines, and large-scale data infrastructure, even though you won't write production code Experience with distributed data platforms at Petabyte scale Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python 8+ years in data: Deep, hands-on experience delivering data programs as a technical program manager - data platform, pipelines, enrichment/curation, labelling - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action Systems thinking: You reason about how the parts of a complex data system fit together, and how a change in one area ripples into others People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft Growth mindset: Open to feedback and always looking to improve Strategic & business impact: You link data investment to measurable outcomes - quality, throughput, cost Working experience with a large-scale distributed data platform used by 100s of engineers and researchers Background in autonomous vehicles, robotics, or another large-scale data / ML program An engineering or computer science degree, or experience working as an engineer; fluent with modern delivery tooling (e.g. Jira) J-18808-Ljbffr