Director of Enterprise Data & AI Strategy

Danaher Corporation

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$280,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $240k
$166k most similar roles pay here $292k

This role pays more than 60% of similar roles. Most pay $185,500–$248,300 — the shaded band above. At the midpoint, this role pays about $240k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 26 open roles on FindRole.

Listed pay typically runs $116,000–$159,500 across 21 roles with salary data.

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View all roles at Danaher Corporation

At a glance

TL;DR · Director of Enterprise Data & AI Strategy

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The Director of Enterprise Data & AI Strategy leads the Information and Technology group in California, focusing on unifying business intelligence with advanced analytics and AI to drive data-driven decision-making. This senior executive will define and execute a comprehensive enterprise-wide data strategy aligned with business priorities and digital transformation goals, chairing cross-functional AI Steering Committees to ensure value realization and adoption. Responsibilities include overseeing data architecture and governance, modernizing BI infrastructure, driving innovation through predictive modeling and machine learning, and fostering a data-driven culture. The ideal candidate has extensive experience in data architecture, analytics, and BI, with expertise in Snowflake, Databricks, Oracle, Informatica, and PowerBI, as well as strong project management and budget oversight skills. This role is pivotal for Beckman Coulter Diagnostics, a leader in the diagnostics industry, aiming to leverage cutting-edge technologies to solve complex business problems at scale.

Skills

Snowflake Databricks Oracle Informatica PowerBI AI/ML Predictive Modeling MLOps CI/CD Cloud Data Platforms ETL Data Governance Scalable Platforms High Data Quality Regulatory Compliance Advanced Analytics Machine Learning Vendor-Managed Services

What you'll do

  • Define and execute an enterprise-wide data and AI strategy aligned with business priorities.
  • Oversee enterprise data architecture, governance, and regulatory compliance to ensure high data quality.
  • Lead modernization of BI infrastructure, including cloud platforms and ETL processes.
  • Drive innovation by translating complex business needs into advanced analytics solutions.
  • Foster a data-driven culture through continuous coaching and development of teams.

What we're looking for

  • Bachelor’s or advanced degree in Computer Science, Data Science, Information Systems, or Business Administration.
  • 12–14+ years of experience in data architecture, analytics, or BI, with 7+ years in senior leadership roles.
  • Proven experience with Snowflake, Databricks, Oracle, Informatica, and PowerBI.
  • Strong project/program management, vendor negotiation, and budget oversight skills.
  • Expertise in AI/ML, predictive modeling, and MLOps is highly desirable.

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