Lead Technical Program Manager, Data
- 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.
- 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.
- People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.
- 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.
- Experience with data ingestion from raw data to processing through different stages and pipelines. Understands Directed Acyclic Graphs, their usage and challenges.
- Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models.
- Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python.
- Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex.
- Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.
- 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.
- 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.
- Strategic & business impact: You link data investment to measurable outcomes - quality, throughput, cost.
- Clear, data-driven communicator: You set direction with clarity and steer with the right metrics.
- Growth mindset: Open to feedback and always looking to improve.
- 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).
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