Hiring: Director, Data Products & Analytics Strategy Company: SolarWinds Location: San Francisco, CA Job Posted Time: 2026-09-16 13:14:50 Target Skills & Keywords : BigQuery, CI/CD, Data Warehouse, ELT, Fivetran, Git, GitHub, NetSuite, Python, SQL, SaaS, Salesforce, User Experience, Zoom, dbt About the job Experience: •7+ years of experience across analytics engineering, business intelligence, data products, analytics strategy, or related data roles, with experience leading cross-functional work and influencing senior stakeholders •Production-grade dbt experience (dbt Core or dbt Cloud) — you have designed and maintained multi-layer models at scale, written macros, implemented tests, and established reusable modelling patterns •Expert SQL skills — complex analytical queries, window functions, CTEs, aggregations, dimensional modelling, metric logic, and query performance awareness •Strong Python proficiency for analytics and data engineering use cases — data wrangling, automation, testing, custom tooling, exploratory analysis, or production workflows •Demonstrated ability to build governed, performant, and user-friendly Tableau dashboards or equivalent BI products from scratch and explain design decisions to executives and business users Required Skills: •As Director, Data Products and Analytics Strategy, you will lead the strategy and delivery of trusted, full-stack data products across GTM, Finance, Customer, Product, Marketing, and other enterprise domains - from well-governed dbt data models and semantic metrics through to decision-ready Tableau dashboards and AI-ready analytical assets. •The right candidate combines technical depth, sound judgement, and the ability to work effectively with senior leaders. You can open a dbt project, trace a metric to its source, write the SQL or Python needed to resolve an issue, build a useful dashboard, and explain the trade-offs and recommendations clearly to a senior business audience. •Define and maintain a cross-domain data products and analytics strategy spanning GTM, Finance, Customer, Product, Marketing, and other priority business areas, translating enterprise goals into a sequenced, outcome-focused roadmap •Interface directly with senior business and functional leaders to frame business questions, translate ambiguous requirements into clear metric and product specifications, and align on practical measures of success •Design, build, and review production-grade dbt data models across staging, intermediate, and mart layers following SolarWinds modelling standards and creating consumption-ready, well-tested data products •Partner with domain delivery leads each quarter to jointly identify the highest-value, highest-complexity initiatives, and take a direct, hands-on build role on that critical subset — reinforcing delivery capacity rather than creating a parallel workstream •Use advanced SQL and Python for transformation, data quality, automation, exploratory analysis, custom dbt macros, and performance investigation — remaining hands-on enough to validate solutions in the codebase •Build or oversee high-quality Tableau dashboards and self-serve analytics assets from requirements through stakeholder sign-off, ensuring the experience is performant, understandable, and grounded in governed models and metrics Qualifications: •Hands-on MetricFlow or dbt Semantic Layer experience in a production environment •Exposure to Dataplex, Fivetran, or similar data cataloguing, ELT, observability, and data-quality tooling •SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. •All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!