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Dataiku

Job in Oakland, Alameda County, California, 94616, USA
Listing for: Sapsol Technologies Inc
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Category:

03181

Job Description:

Strategy Focus:
This role will take a forward-looking approach driving innovation and identifying emerging opportunities for Dataiku and advanced analytics adoption across the enterprise. The individual will focus on developing the long‑term roadmap, assessing new technologies, and shaping strategic direction to enable Delta Dentals data-driven transformation.

Job Description:
This role is critical to advancing enterprise-wide analytics at Delta Dental. The Expert Technical Specialist will partner closely with data architecture, data engineering, and business analytics teams to identify and implement machine learning (ML) use cases that address real-world business challenges.

The position sits within Delta Dentals
Data & Analytics Center of Excellence
, which is responsible for executing the companys Enterprise Data & Analytics strategy fostering a data-driven culture, governing data assets, and enabling impactful business insights.

Key Responsibilities:

  • Leverage deep expertise in
    Dataiku
    (and Azure ML) to support business data scientists in defining, developing, tuning, and deploying ML models.
  • Provide guidance and mentorship to data scientists and development teams on ML best practices from ideation to deployment.
  • Serve as an
    Advanced Analytics Product Owner
    : identify and prioritize new ML use cases, track progress and risks, and coordinate resolution efforts.
  • Drive thought leadership on Advanced Analytics governance, including ethical and legal guidelines.
  • Build, validate, and implement predictive models in support of strategic initiatives or AI/ML proof-of-concepts; clearly present findings to stakeholders.
  • Analyze current data-related processes and lead process improvement initiatives.
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