Technical Solutions Consultant, gData BI
Listed on 2026-07-07
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IT/Tech
Data Engineering, Business Intelligence, Data Analyst
Technical Solutions Consultant, gData BI
Locations: Sunnyvale, CA, USA;
Boulder, CO, USA.
Application Window: Open until at least July 14th, 2026, but may close earlier or later based on business needs. Candidates may specify preferred work location.
Qualifications- Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
- 5 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience managing the lifecycle of data products, SQL, Python, data architecture, and data governance.
- Experience designing and implementing AI solutions within an enterprise data ecosystem.
- Proven experience defining, designing, and scaling data or analytical solutions within a customer service or enterprise support environment.
- Ability to act as a strategic partner, building consensus and driving technical decisions across complex stakeholder groups.
- Strong technical architecture skills, with experience designing semantic data layers or modern BI infrastructure.
- Strong analytical problem‑solving skills and a proactive approach to driving business adoption of new technologies.
- Excellent technical leadership and portfolio management skills, managing complex, cross‑functional project timelines and product rollouts.
gDATA’s mission is to empower stakeholders to make brilliant business decisions by building robust data infrastructure and delivering actionable insights. Supporting the gTech Ads organization, our work directly optimizes Google Ads products and improves the customer experience.
The gDATA BI Team drives this mission by delivering scalable reporting and strategic insights. Leveraging Autonomous BI and advanced reporting solutions, the team transforms massive, complex datasets into automated, actionable intelligence. Our work combines analytical excellence with a deep understanding of business operations, enabling gTech partners to solve non‑routine problems and drive smart, data‑backed business decisions.
As a Technical Solutions Consultant on the gDATA BI team, you will be a key driver in shaping our data strategy and modernizing analytical capabilities. You will own the entire lifecycle—from developing multi‑year roadmaps to co‑leading the design of advanced, AI‑driven data products. Your work will directly enable the business by transitioning teams from traditional reporting toward autonomous BI solutions that deliver proactive, actionable insights and drive business actions.
Serving as the bridge between operational needs and technical execution, you will partner with business stakeholders to define requirements and design solutions. You will collaborate closely with Data Science, Data Engineering, and internal teams to build robust technical solutions while managing holistic program timelines, providing clear stakeholder communications, and driving business adoption.
Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.
US salary range: $152,000 – $222,000 (USD) + 15% bonus target + equity + benefits.
Learn more about benefits at Google.
Key Responsibilities- Product Strategy: Own the multi‑year roadmap and drive technical execution to transition gTech Ads from traditional reporting to autonomous, AI‑driven insights that drive proactive business actions.
- Product Requirements: Translate complex business requirements into functional specifications for Data Science partners to build core AI capabilities—such as agentic flows, advanced modeling, and automated delivery modalities.
- Technical Architecture and Governance: Architect the semantic data layer and establish robust data governance; serve as liaison with Data Engineering to communicate infrastructure needs that enable autonomous BI.
- Portfolio Management: Manage complex, cross‑functional timelines to scale autonomous BI across gTech Ads; coordinate cross‑team development, UAT, stakeholder communication, and drive business adoption.
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