wayve - Lead Technical Program Manager, Data

• Coach and support a small, high-impact TPM team, helping people develop their skills, work through challenges and raise the standard of programme delivery. • Act as a trusted delivery partner to Data and Engineering leadership, aligning priorities, challenging trade-offs and holding teams and leaders accountable for meaningful outcomes. • Work across data, ML, engineering and external data and annotation suppliers to manage dependencies, surface risks and remove blockers. • Use KPIs, dashboards and operational reviews to understand delivery progress, identify bottlenecks and steer decisions with the right data. • Represent the Data organisation in company-level reviews, communicating progress, risks and decisions clearly and connecting delivery to business impact. • 🧩 What you’ll be working on: • Building and scaling the technical programme management function for our Data organisation, hiring to fill capability gaps and growing a high-performing team. • Owning planning, prioritisation and execution across the data roadmap in partnership with Data leadership. • Leading flagship programmes directly across the data platform, ingestion and standardisation pipelines, enrichment and curation, labelling and annotation, and dataset management and quality. • Establishing scalable planning cadences, governance, escalation paths and operational practices that bring structure without slowing delivery. • Driving measurable improvements in data quality, throughput, cost and time-to-insight, making the data that powers our models more reliably and predictably available. • 🙌 You should apply if: • You bring 8+ years of deep, hands-on experience delivering data programmes as a technical programme manager, spanning data platforms, pipelines, enrichment, curation or labelling. You’ve built or scaled a programme function, led people and processes, and get things done with ownership and a bias for action. • You build, coach and grow high-performing teams. You know how to develop people, hire to strengthen the team and raise the bar on technical programme management. • You have strong technical depth across data platforms, pipelines and large-scale distributed infrastructure, including platforms operating at petabyte scale. You can engage credibly with engineers without being expected to write production code. Your experience includes: • Data ingestion from raw data through multiple processing stages and pipelines, with an understanding of directed acyclic graphs (DAGs), their uses and their challenges. • A solid understanding of machine learning, GPUs, and training and inference for models with 500 million to 20 billion parameters. • Proficiency with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker and Python. • Proficiency with AI agents such as Cursor, Claude or Codex to accelerate execution. • You stay objective under pressure and adapt your approach in ambiguous, fast-moving environments. You bring structure and clarity without creating unnecessary process or slowing delivery. • You think in systems, understanding how the parts of a complex data platform fit together and how changes in one area affect others. • You’re product-minded, focusing on the people your programmes serve, prioritising by impact and defining what good looks like—not just tracking activity. • You align and influence across data, ML and engineering without relying on formal authority. • You connect data investment to measurable outcomes, including quality, throughput and cost, and communicate direction and progress clearly using the right metrics. • You’re open to feedback and continuously improve how you and your team work. • Ideally, you’ve worked with large-scale distributed data platforms used by hundreds of engineers and researchers. • Experience in autonomous vehicles, robotics or other large-scale data and ML programmes would also be valuable. • An engineering or computer science degree, or experience working as an engineer, alongside fluency with modern delivery tools such as Jira, would be a plus. • 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.