Sr Director, Enterprise AI
About the role
The Senior Director of Enterprise AI is accountable for defining, governing, and scaling Dynatrace's enterprise AI strategy to drive measurable productivity, operational efficiency, and competitive advantage across the organization.
Responsibilities
Partner with the VP of AI, Data & Collaboration and executive stakeholders to define, refine, and operationalize Dynatrace’s enterprise AI strategy, ensuring alignment with company priorities and measurable business outcomes.
Develop a forward-looking perspective on generative AI, agentic systems, and workflow automation, translating market and technology shifts into practical strategic direction for the enterprise.
Own the enterprise AI roadmap by identifying, prioritizing, and sequencing initiatives across Operations, Sales, Finance, HR, Legal, Marketing, and IT based on business value, feasibility, and risk.
Lead portfolio-level build, buy, and partner decisions by evaluating SaaS vendors, platform integrations such as ServiceNow, Salesforce, and SAP, and custom-build trade-offs; bringing well-reasoned recommendations to executive leadership.
Use Dynatrace’s observability platform as a strategic advantage to monitor, measure, and continuously improve the reliability, performance, and business impact of internally deployed AI solutions.
Mature and own Dynatrace’s enterprise AI governance framework, including acceptable use policies, risk tiering, human-in-the-loop thresholds, and decision authority standards for AI systems across the organization.
Design AI risk assessment processes that enable responsible adoption at speed, creating guardrails that protect the organization without slowing practical innovation.
Define data usage policies, model transparency expectations, and audit standards so Dynatrace can demonstrate responsible AI practices to regulators, customers, employees, and internal stakeholders.
Serve as the senior internal voice on AI ethics, fairness, and accountability, building confidence in how AI-enabled decisions are made, reviewed, and governed.
Design and execute an enterprise AI enablement program that includes executive briefings, AI literacy workshops, department-level playbooks, and training curricula to raise AI maturity at every level.
Establish an AI Center of Excellence to standardize delivery practices, capture institutional knowledge, and scale proven AI patterns across departments and workflows.
Define and track enterprise AI maturity metrics, measuring adoption, capability growth, and the organizational shift toward AI-augmented work.
Serve as the primary AI thought leader and internal advisor to Dynatrace’s leadership, translating complex AI developments into clear strategic guidance and business cases.
Own portfolio-level AI value realization by defining success metrics such as productivity gains, cycle-time reduction, cost savings, and manual work eliminated; build executive-facing ROI reporting and communicate impact on a regular cadence.
Stay current on emerging AI technologies, vendors, and industry practices, maintaining a strong external perspective that informs Dynatrace’s internal strategy.
Qualifications
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.
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.
Skills
Strategic thinking and ability to translate market trends into actionable business strategies.
Excellent communication and presentation skills, able to articulate complex AI concepts to both technical and non-technical audiences.
Strong project management and team leadership skills, with the ability to manage multiple projects simultaneously and lead cross-functional teams.
Ability to work effectively with legal, compliance, and regulatory teams to ensure AI deployments meet all necessary requirements.
Experience with data governance and privacy regulations, including GDPR, CCPA, and others.
Knowledge of AI ethics, fairness, and accountability principles, and the ability to apply these principles to AI systems and processes.
Experience with AI model deployment, monitoring, and optimization.
Understanding of AI-driven business process automation and workflow optimization.
Benefits
Competitive compensation package including salary range of $224K - $280K, health, dental, life, STD, LTD, 401K, and paid time off.
Pay
$224K - $280K DOE
Schedule
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.