Senior Director, AI Strategy, Governance and Transformation

Abbott

Quick summary

Work type: On-site
Location: Abbott Park, IL
Salary: $190,000–$380,000 / yr
Posted: 8 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $285k

$166k most similar roles pay here $403k

This role pays more than 87% of similar roles. Most pay $193,587–$249,490 — the shaded band above. At the midpoint, this role pays about $285k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 56 open roles on FindRole.

Listed pay typically runs $113,300–$226,700 across 54 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Senior Director, AI Strategy, Governance and Transformation

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As a Senior Director AI Strategy, Governance & Transformation, you will lead an enterprise AI Portfolio Office, managing demand intake and prioritization for high-impact use cases across business units. Your role involves building a 12–24-month AI roadmap with clear stage-gates and funding criteria while embedding Responsible AI standards to ensure compliance and risk management throughout the lifecycle. You will also drive process reengineering, change management, and adoption initiatives, ensuring that workflows are AI-ready and fostering continuous learning within the organization. Key responsibilities include establishing a robust governance framework, collaborating closely with engineering teams on AI release readiness, and maintaining executive sponsorship for each use case. This role requires extensive experience in strategy, transformation, and risk/governance roles within complex regulated industries, along with hands-on knowledge of Responsible AI practices and MLOps concepts.

Skills

ResponsibleAI AI/ML_lifecycles GenAI data_governance model_monitoring MLOps platform_led_delivery risk_control_frameworks Communications_skills Inclusive_leadership Builder_operator_mindset Process_reengineering Change_management Benefits_tracking Cross_functional_collaboration AI_fluency_programs Quarterly_AI_Value_Dashboard Post_implementation_reviews

What you'll do

Build and lead an enterprise AI Portfolio Office to manage demand intake and prioritization.
Develop a 12–24-month AI roadmap with lighthouse use cases and platform enablers.
Embed Responsible AI standards across the lifecycle in partnership with compliance councils.
Lead process reengineering to make workflows AI ready, defining new roles and controls.
Establish an AI operating model that scales from intake to value realization.

What we're looking for

15+ years in strategy, transformation, or risk/governance roles within complex regulated industries.
Built and led an enterprise portfolio office with measurable outcomes across multiple business units.
Hands-on experience with Responsible AI/Risk and audit-ready controls in complex environments.
Proven track record driving adoption and realizing benefits for AI-enabled process change.
Working knowledge of AI/ML lifecycles, GenAI technologies, data governance, and model monitoring.
Familiarity with MLOps concepts and platform-led delivery; experience partnering with engineering leaders.

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