Project Manager, Data Analytics & AI

Dynatrace is hiring for its Insights team to lead specialized projects and develop AI-assisted tools and methods. The role partners with senior leaders, analysts, and business teams to operationalize new processes, enable adoption, and improve customer insights delivery.

Responsibilities:

• Brainstorm, build, and test AI-enabled tools, workflows, analysis, and deliverables that improve how Insights serves customers
• Partner directly with senior leadership to define, pilot, and operationalize new processes tied to these initiatives, engaging business partners and data end users to determine information and reporting requirements
• Lead the interpretation of data to surface insights that are critical and relevant to identified business issues, and conduct analysis to validate new tools and methods before broader rollout
• Partner with our analyst team to ground new tools and methods in live customer engagements
• Enable the broader Insights team on new processes, workflows, and deliverables through training and documentation, while simplifying and standardizing new tools and methods for use across the organization
• Gather analyst and customer feedback to refine tools and methods after launch
• Coordinate with DSE (Data Science & Engineering) and Product teams on specialized projects to ensure new capabilities and initiatives align with broader Insights and Dynatrace priorities
• Track and report on adoption and efficiency gains from new initiatives
• Represent AI-driven initiatives in internal and, where relevant, customer-facing settings
• Shape and develop AI governance policies for the team, and enable them on best practices
• Research emerging Dynatrace capabilities, analytical tools, customer approaches, and post-sales innovations that could materially change how Insights delivers value
• Shape Insights strategy around emerging capabilities and build the plans, workflows, tools, and solutions needed to adopt them

Requirements:

• Experience using or evaluating AI-based tools in a business or analytical setting
• Bachelor's degree in Statistics, Mathematics, Economics, Marketing, or a related quantitative field
• 3-5 years of experience with data analysis, including looking at and distilling complex sets of data and presenting findings in an engaging way
• Experience using data, technology, automation, and/or AI to improve productivity and customer outcomes
• Hands-on experience building with AI tools or platforms (scripting, prompt and context engineering, APIs or automation frameworks, low-code and no-code AI tools, AI-assisted development)
• coding ability is a plus, not a requirement
• Experience designing a new process or workflow and rolling it out across a team
• Strong facilitation and training skills to enable others on new tools and workflows
• Consultative approach to identifying efficiency and innovation opportunities
• Comfortable operating with ambiguity, prototyping quickly, and iterating based on feedback
• Strong executive communication skills, with experience partnering with senior leadership
• Solid understanding of how LLM-based systems behave, fail, and are evaluated
• Ability to balance product vision, customer needs, and business outcomes against rapidly evolving AI capabilities
• Experience owning AI governance: acceptable use policies, risk tiering, human oversight models, enterprise-wide guardrails