{"id":1925250,"url":"https://alion.io/job/oura-staff-ai-data-transformation-architect","title":"Staff AI Data Transformation Architect","company":{"id":63542,"name":"Oura","domain":"oura.com","url":"https://alion.io/company/oura","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":15,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","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":198050,"max":233000,"currency":"USD","period":"year","gross":null,"usd_annual":233000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Gemini","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"dbt","optional":true},{"name":"Feature Store","optional":true},{"name":"FinOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Python","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-05T18:47:28Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-27T00:50:55Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.\nEmpowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. \nAt Ōura, we're on a mission to make health a daily practice for everyone. With our award-winning Ōura Ring and app, we've empowered over a million people to improve their sleep, understand their bodies, and transform their health. Now, we're looking for a distinguished AI leader to turn scattered experimentation into safe, scalable, everyday practice across the entire company.We are seeking a Staff AI Data Transformation Architect to lead as the senior-most individual contributor driving Data AI enablement across our Data team at Ōura, reporting to VP, Data Engineering and Analytics. This is a highly visible, org-defining role that combines two things usually split across separate jobs: the strategic work of building a company-wide AI roadmap and operating model, and the hands-on work of running the operational backbone - access, governance, licensing - that makes that practice safe and scalable.There are no direct reports in this role: strategy, influence, credibility, and hands-on execution are your primary tools. This role is distinguished from Senior by its company-wide scope of influence, the level of ambiguity it resolves, and the expectation that you define the problem as much as solve it.\n\nWhat You Will Do:\nDefine and own the Data AI enablement roadmap across data, product, engineering, science and business functions, prioritizing the transformation opportunities with the highest leverage.\nBuild the operating model for repeatable adoption: playbooks, shared tooling, evaluation frameworks, and success metrics that turn isolated pilots into standard practice.\nEstablish a shared language and evaluation framework that leaders across the company use to assess AI opportunities consistently.\nDrive build-vs-buy decisions for AI tooling, influencing vendor strategy and technology investment at a company-wide level.\nOwn the AI tool estate end-to-end: integration of data and access models within the Databricks platform, multi-agent workflows, token management, and partner with AI Productivity to power the AI ecosystem with a trusted data layer.\nHold the governance line: partner with AI Governance, Security, Privacy, and Legal to define guardrails for responsible AI use in a health-sensitive environment, with auditable change management.\nKeep AI spend efficient: own observability, productivity best practices and reclamation cycles, and the usage insights that inform renewal, expansion, and build/buy decisions.\nArchitect Ōura's Data AI strategy leveraging Databricks and AWS to process terabyte-petabyte scale data with global consistency.\nLead the design of machine-readable contracts, vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM-powered reporting and Agentic AI at production scale, including an enterprise context plane: ontology, semantic layer, knowledge graph, and context layer.\nPartner closely with data analysts and engineers to assess, prioritize, and remediate data readiness (quality, structure, access, documentation) against the AI roadmap's use cases.\nPartner with leadership to drive workflow redesign, working directly with functional leaders to change how their teams operate - not just what tools they have access to.\nBuild internal AI fluency through reusable training, a strong practitioner community, and self-service documentation that let teams and other admins operate independently.\nScale a small number of high-value pilots into standard, company-wide practice rather than leaving them as isolated experiments.\nAct as the primary bridge between executive intent, functional leaders, and enabling functions (Security, Legal, IT, Software).\nDrive alignment across AI productivity, engineering and business units, establishing trust early and earning a seat at the table through credibility.\nSet the operating standard that functional AI Champions and any dedicated AI-tool administrators run to, without owning their day-to-day work directly.\nRepresent Data AI enablement in cross-company forums, making adoption and impact metrics visible and discussed at the leadership level.\nThis is a hybrid role out of our San Francisco office.\nWhat you'll bring:\n8+ years of experience scaling AI data solutions, products or technology adoption beyond pilots into sustained, organization-wide practice, with measurable outcomes.\nA track record of building durable operating models, SOPs, and measurement systems that outlast any one project.\nHistory of influencing and aligning senior leadership on long-horizon technology investments.\nDeep technical fluency in LLMs and implementation patterns, with sound judgment for separating real value from hype.\nDirect, hands-on experience administering at least one enterprise AI productivity tool (e.g., Cursor, Claude, ChatGPT Enterprise, Glean, Gemini, coding assistants, LLM API gateways), including user/group management and configuration troubleshooting.\nDemonstrated AI fluency: uses LLM assistants and agents in daily work with sound judgment and verification.\nClear point of view on when to build vs. buy, grounded in real experience rather than generic opinion.\nExperience in enterprise data platforms including lakehouse using AI/LLMs.\nPractical experience with role-based access models and permissions in multi-domain/region zones.\nComfort partnering with Security, Privacy, and Legal to define and operationalize guardrails for responsible AI use in a regulated or health-sensitive environment.\nAbility to influence senior stakeholders and drive alignment across R&D and business units without formal authority.\nProven ability to design, document, and maintain SOPs, playbooks, and training that non-technical users and other admins can follow independently.\nStrong written and verbal communication skills, able to flex between a hands-on troubleshooting conversation and an executive steering committee.\nNice to have:\nDatabricks Certified Administrator or Databricks Certified Data Engineer certification.\nFamiliarity with data mesh principles and domain-oriented data ownership models.\nExperience supporting ML workflows - MLflow, Feature Store, or Databricks Model Serving.\nKnowledge of dbt for data transformation and analytics engineering workflows.\nCloud/AI token FinOps experience - cost allocation tagging, budget alerting, and multi-tier storage optimization.\nExposure to Databricks Lakehouse Federation or cross-platform query federation patterns.\nPrior experience as an AI Champion or similar transformation role in another function or company.\nFamiliarity with scripting or configuration automation (e.g., Python, shell, configuration-as-code) to reduce manual admin work.\nExperience in health tech, consumer health, wearables, or another regulated, high-trust industry.\nDeep expertise designing data architectures for LLM, RAG, and vector-based use cases in production environments.\nExperience with MLOps frameworks, VertexAI, MLflow, and production AI/ML lifecycle management.\nAbility to define data requirements for Agentic AI and interactive self-serve analytical systems.\nBenefits\nAt Ōura, we care about you and your well-being. Everyone here at Ōura has a ring of their own and we are continually looking to improve employee health.\nWhat we offer:\nCompetitive salary and equity packages\nHealth, dental, vision insurance, and mental health resources\nAn Ōura Ring of your own plus employee discounts for friends & family\n20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off\nPaid sick leave and parental leave\nŌura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.\nRegion 1 $198,050 - $233,000\nRegion 2 $180,200 - $212,000\nRegion 3 $169,150 - $199,000\nA recruiter can determine your Region based on your US location.\nWe are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).\nOura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.\nWe will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.\nDisclaimer: Beware of fake job offers!\nWe’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:\nOur jobs are listed only on the ŌURA Careers page and trusted job boards.\nWe will never ask for personal information like ID or payment for equipment upfront.\nOfficial offers are sent through Docusign after a verbal offer, not via text or email.\nStay cautious and protect your personal details.\nTo all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. 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