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SolarWinds

Director, Data Products & Analytics Strategy

San Francisco, CA; US CA RemoteRemote · United States
Director+ · G&A
POSTED 15 SEPTVERIFIED 2H AGO
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Role
56 days opentrue age
Posted 15 Sept
Pay
$214k–$303kno pay posted
Market p25–p75
$214k–$303k
SF Bay Area · n=26 · 365d to 10 Nov
CompanySolarWinds →
92open roles
Opened · 30d
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Closed · 30d
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Market
368open · Director+ Analytics / Data science
Opened · 7d
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All analytics / data science
7,638open
All tracked boards · live 10 Nov · n=368
PythondbtSQL

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.

The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

ROLE OVERVIEW

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.

This is a senior, hands-on role based in the San Francisco Bay Area, with clear technical expectations. You will work with senior business and functional leaders to frame business questions, clarify requirements, align metrics, and sequence the enterprise analytics roadmap. You will also personally build and review production-grade dbt models, complex SQL and Python analysis, and dashboards at the same standard expected of our strongest data-product builders. You will work closely with the Analytics Engineering, BI, Governance, and AI/ML leaders across our Enterprise Data team and SME Domain Experts, leading through influence and connecting priorities to delivery

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.

We are looking for someone based in the Bay Area who can be in our San Francisco office on Wednesdays to be a close collaborator with Business Applications ,GTM Tech and Marketing leadership based in the region.

KEY RESPONSIBILITIES

• 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

• Work 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

• Drive alignment of cross-domain metrics, semantic definitions, lineage, and documentation with business owners and Governance, creating a trusted analytical language without taking ownership of source-system processes

Source · SolarWindsFirst seen 7 NovOriginal ↗