Senior Data & Analytics AI Leader — Onsite Alameda

Abbott

Alameda (CA)

On-site

USD 149,000 - 297,000

Full time

7 days ago
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Benefits offered by this job

HIP PPO medical plan
Excellent retirement plan contribution
Tuition reimbursement
Free U education benefit

Job summary

Abbott is seeking a seasoned Data & Analytics leader for its onsite Alameda, CA location. The role drives data product delivery, AI initiatives, and governance across Commercial, Marketing, R&D, Quality, and Operations. You will lead strategy, roadmap, and engineering efforts enabling measurable business outcomes.

You’ll partner with cross-functional teams, scale Data Products, and implement Data Mesh principles while ensuring security, quality, and governance across enterprise data assets.

Qualifications

  • 10+ years in Data & Analytics leadership roles with data engineering, architecture, analytics, management, governance.
  • Hands-on enterprise data/analytics delivery before moving to leadership.
  • Proven ability to translate strategic priorities into scalable tech-enabled solutions.

Responsibilities

  • Lead Data, Analytics, AI, and Data Product initiatives end-to-end.
  • Partner with senior business stakeholders to define value-driven data products.
  • Govern data assets with governance, metadata, and security best practices.
  • Drive Data Mesh adoption and domain-oriented data ownership across functions.
  • Collaborate with Architecture/IT to shape architectural direction.

Skills

Data & Analytics leadership
Data Engineering
Data Architecture
Analytics
Data Governance
Databricks
Snowflake
AWS
GenAI / AI
Leadership & stakeholder management

Education

Bachelor’s degree in IT / CS / Eng
Master’s degree preferred

Tools

Databricks
Snowflake
Amazon Redshift
Power BI

Job description

Abbott is seeking a seasoned Data & Analytics leader for its onsite Alameda, CA location. The role drives data product delivery, AI initiatives, and governance across Commercial, Marketing, R&D, Quality, and Operations. You will lead strategy, roadmap, and engineering efforts enabling measurable business outcomes.

You’ll partner with cross-functional teams, scale Data Products, and implement Data Mesh principles while ensuring security, quality, and governance across enterprise data assets.

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