Sr Director, Enterprise AI

Minimum Requirements

12+ years of progressive experience in enterprise technology, AI/ML, or digital transformation leadership — with at least 3–5 years in a senior director or equivalent role with demonstrated portfolio ownership.

Preferred Requirements

Demonstrated success shaping and operationalizing enterprise AI strategies that drive measurable impact across global, cross-functional organizations.

Deep knowledge of modern AI technologies including large language models (LLMs), agentic frameworks, retrieval-augmented generation (RAG), vector databases, and automation platforms — with the credibility to evaluate vendor claims and guide architectural decisions.

Experience owning AI governance: building acceptable use policies, risk tiering frameworks, human oversight models, and working with Legal and Compliance on enterprise-wide guardrails.

Demonstrated experience building and leading high-performing teams — including hiring, developing, and retaining AI product managers and technical program leads.

Strong executive presence and communication skills: able to explain complex AI concepts to non-technical audiences, build business cases for AI investment, and present confidently to C-suite and board-level stakeholders.

Experience building AI centers of excellence, capability programs, or organizational enablement initiatives that measurably increased AI maturity.

Familiarity with enterprise platforms — ServiceNow, Salesforce, SAP, or similar — and an understanding of how AI capabilities are embedded within existing business systems and workflows.

Exposure to data platform architecture (Snowflake, medallion/lakehouse patterns, semantic layers) and how governed enterprise data enables AI at scale.

Track record of leading enterprise transformation through influence — driving adoption, managing change, and building cross-functional alignment without direct authority over every stakeholder.

Experience with build/buy/partner decisions at the portfolio level, including vendor evaluation, contract negotiation support, and post-implementation performance tracking.

Bonus: hands-on experience with observability or monitoring platforms — Dynatrace or similar — applied to AI system performance and reliability.

This is a remote eligible position. Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; and Denver, CO will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position.

Dynatrace is a leader in unified observability and security.

We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.

Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.

You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.

Over 50% of the Fortune 100 companies are current customers of Dynatrace.