Sr Director, Enterprise AI

Your role at Dynatrace

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. This role operates at the intersection of business strategy, applied AI, and organizational capability, translating a rapidly evolving technology landscape into a clear, enterprise-wide AI agenda with multi-year impact.   Enterprise AI Strategy and Roadmap

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.

AI Governance and Responsible AI

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. Partner with Legal, Risk, Security, Compliance, and Works Council stakeholders to ensure AI deployments meet requirements for data privacy, regulation, security, and labor co-determination. 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.

Organizational AI Capability and Maturity

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.

Executive Engagement and Value Realization

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.  What will help you succeed

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