{"id":2776149,"url":"https://alion.io/job/r-potential-head-of-data","title":"Head of Data","company":{"id":4443781,"name":"r.Potential","domain":"rpotential.ai","url":"https://alion.io/company/r-potential","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":260000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ISO 27001","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-25T13:20:00Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"Position: Head of Data\nCompany: r.Potential\nLocation: San Francisco Bay Area (Hybrid 2-3 days per week in office)\nReports to: VP of Engineering\nTeam: Data Science, Data Engineering, Data Platform\nAbout r.Potential\nr.Potential exists to help people and companies realize their full potential as AI changes work. We're building an enterprise platform that helps leaders decide where to invest, what work AI can realistically take on, and how people's roles should evolve. We independently prove whether those changes deliver real business results. Drawing on a proprietary, global view of work across millions of companies, we're developing repeatable ways for people and AI to work together. Our ambition is for each company's decisions and results to improve the next company's choices. Join us to help shape how the next generation of companies works. r.Potential is based in SF and backed by Salesforce and The Adecco Group.\nThe Role\nData is the product at r.Potential. Our measurement and governance layer is only as good as the data underneath it and the judgment applied to it, which makes this as much a product role as a technical one.\nWe are looking for a Head of Data to own that end to end: the strategy for what data we hold, what data we go acquire, what we build with it, and how we expose it. You will report to the Chief Operating Officer and work directly with the CEO, Engineering, and Product on decisions that shape what the company sells - not only the systems underneath it.\nThree things define the job:\nData strategy.A clear point of view on where our data assets should be in two years, what has to be true to get there, and what we sequence first.\nExternal data.Third-party and partner data sources are central to what we can build. Assessing them, understanding what each one permits, and deciding how they fit together is a core part of this role.\n\nData as an interface.Our data has to be consumable by systems, not only by people. That makes this function the owner of the contracts other teams and customers build against, not just internal tables.\n\nYou will lead an existing data team with additional headcount in flight, and you will stay hands-on as that team grows. The right person is credible with data scientists, data engineers, and infrastructure partners - and equally credible in a product review or in front of an enterprise buyer asking why our numbers can be trusted.\nWhat You Will Do\nOwn r.Potential’s data strategy: a defensible point of view on which data assets matter, what to build, what to acquire, and in what order.\nDefine and drive the data product roadmap with Product - what our data makes possible for customers, and which capabilities we take to market.\nOwn our approach to external data: evaluate third-party and partner sources, determine how they combine with our own, and establish what each source permits - usage rights, derived-work rights, and downstream exposure - before the product depends on it.\nEstablish provenance, lineage, and entitlement discipline, so we can state at any moment where a data point came from and what we are permitted to do with it.\nOwn the data behind our measurement claims: metric definitions, methodology, and the analytical rigor that makes our outputs defensible to enterprise buyers and their auditors.\nShape our external data interfaces alongside Engineering, including schema design, versioning, deprecation, documentation, and what is safe and permitted to expose.\nLead, hire, and develop the data team across data science, data engineering, and data platform disciplines.\nOwn the architecture and scalability of the end-to-end data platform, currently Databricks-centered, setting practices for pipelines, governance, performance, cost management, and reliability - directly at first, through the team as it grows.\nGuide production machine learning and analytics work: model development, deployment, monitoring, experimentation, and data quality.\nEnsure our data architecture and operating practices support ISO 27001 and SOC 2 obligations - access controls, lineage, documentation, monitoring, auditability - in partnership with Security.\nPartner with Engineering, Product, Security, and executive leadership to translate company priorities into data initiatives, and to bring forward data opportunities leadership would not have thought to ask for.\nFoster a culture of responsible AI development that augments human work.\nWhat We Are Looking For\nMust Haves\n10+ years in data science, machine learning, or data engineering, including 4+ years leading technical teams.\nDemonstrated ownership of a data strategy: you have decided what data an organization should hold and acquire and been accountable for the outcome, rather than executing a roadmap handed to you.\nA track record of building data products - data or analytics capabilities that customers used and paid for, not exclusively internal analytics and reporting.\nExperience working with third-party or partner datasets, including the practical realities of licensing constraints, usage rights, and provenance.\nStrong hands-on technical foundation: Python, SQL, production machine learning workflows, statistical modeling, and scalable data architecture. You can review a model or a pipeline design and be right.\nExperience designing data models, distributed data systems, and reliable pipelines in a modern lakehouse or warehouse environment; able to own a Databricks-based platform or ramp quickly to it.\nProduct instinct and the communication to match: you can hold your own with Product and Engineering on what to build, and with enterprise customers on why our numbers are trustworthy.\nAbility to operate in a fast-paced, ambiguous startup environment, comfortable being hands-on as well as directing the work, with strong communication and stakeholder management skills.\nBased in the San Francisco Bay Area and able to work hybrid, with alignment on our belief that AI should be deployed responsibly to augment human work.\nNice to Haves\nExperience with externally consumed data APIs or programmatic data interfaces: schema versioning, SLAs, and developer documentation.\nExperience with labor-market, HR, workforce, or organizational data.\nDeep Databricks expertise, including workspace design, governance, and cost management.\nFamiliarity with Terraform and infrastructure as code, and with cloud platforms - Microsoft Azure in particular.\nFamiliarity with data governance practices that support ISO 27001 and SOC 2 compliance.\nExperience with CI/CD, MLOps frameworks, and modern data orchestration tooling; NoSQL databases, messaging systems, and streaming technologies.\nAdvanced degree in a quantitative field, or prior experience in a startup or high-growth environment.\nOur Tech Stack\nDatabricks\nPostgreSQL\nMicrosoft Azure\nPython, Spark, SQL\nREST APIs and microservices\nWhy Join r.Potential\nSerious backing.The Adecco Group and Salesforce are behind us, and we work on labor-market data at enterprise scale.\nData is the product.This role shapes what the company sells, not only how it runs.\nBuild the function.An established team, active headcount, and the mandate to define how data works here.\nA real problem.Work at the intersection of AI, measurement, and the future of work, on something enterprises are actively struggling with today.\nr.Potential is part of The Adecco Group, is one of the world’s largest employers. We believe in talent, not labels, and focus on the diverse and unique skills our people bring. We have zero tolerance for any unlawful discrimination or harassment, against any employee, associate, or candidate, at any stage of that person’s journey with us. We seek to foster a culture of belonging and purpose, an environment where everyone can thrive and feel engaged, and where difference is respected and valued. Our commitment to equity, equal opportunity, inclusion, and diversity is part of our broader commitment to respecting fundamental human rights across our value chain. rPotential is proud to be an Equal Opportunity Employer. Equal Opportunity Employer/Veterans/Disabled\nClick here to read our Candidate Privacy Information Statement , which explains how we will use your information.\nThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:\nThe California Fair Chance Act\nLos Angeles City Fair Chance Ordinance\nLos Angeles County Fair Chance Ordinance\nThe anticipated annual base salary range for this position is between $260k - $300k. Compensation varies based on a variety of factors including, but not limited to, experience, education, key skills, and geographic location.\nBenefit offerings for full-time employment include medical, dental, vision, term life and AD&D insurance, short-term and long-term disability, additional voluntary benefits, commuter benefits, wellness plans, and a 401k plan or a non-qualified deferred compensation plan. Available paid leave includes Personal Time Off (PTO) on an accrual basis up to 152 hours a year, 10 Paid Holidays, 1 Community Service Day, and up to 6 weeks of Paid Parental Leave. 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