Senior Director Software Engineering

Job d:

Location:

Eden Prairie, Minnesota, United States Salary: $159,300 - $273,200/year

Job Area:
Technology Company:
United Health Group Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

The Senior Director, Agentic Mar Tech Engineering will lead the strategy, engineering, and transformation of enterprise marketing technology through agentic AI capabilities. This leader will build AI-native engineering teams and platforms that use intelligent agents, orchestration, automation, and decisioning to accelerate personalization, content intelligence, journey optimization, and customer engagement  role combines deep technical leadership, operating model transformation, and business partnership to move Mar Tech from traditional application delivery to agent-driven, outcome-focused engineering.

Primary Responsibilities:

Partner with Product, Marketing, Data, Experience, and Enterprise AI to define and execute the agentic AI Mar Tech engineering strategy, roadmap, operating model, and investment priorities

Lead the design and delivery of agentic AI capabilities, including autonomous workflow agents, orchestration agents, personalization agents, content intelligence, predictive decisioning, and journey optimization

Establish and operationalize an end-to-end Agentic AI Development Lifecycle, integrating experimentation, prompt and agent design, model development, tool integration, deployment, monitoring, governance, and continuous optimization

Transform steady-state engineering and support teams into AI-native product teams with end-to-end accountability for agent design, engineering quality, operational performance, and business outcomes

Drive adoption of agent orchestration, intelligent automation, and tool-based AI integration to improve scale, speed, resilience, productivity, and reduce manual handoffs across marketing and data engineering workflows

Build and lead high-performing teams of AI engineers, agent engineers, software engineers, architects, and technical leaders capable of delivering agentic platforms and reusable AI capabilities

Ensure agentic AI solutions meet enterprise standards for security, privacy, responsible AI, compliance, scalability, observability, reliability, and human-in-the-loop governance

Manage strategic technology partnerships and influence enterprise architecture decisions across agent platforms, MCP-based integrations, data platforms, Adobe and comparable Mar Tech products, and cloud-native AI services

Communicate agentic AI strategy, delivery progress, risks, adoption, and measurable business value to executive leadership and cross-functional stakeholders

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

12+ years of technology leadership experience7+ years leading enterprise engineering teams and AI-enabled transformation

Proven experience delivering agentic AI, AI/ML, automation, or intelligent workflow capabilities at enterprise scale

Proven technical foundation in agent orchestration, AI application architecture, cloud engineering, MLOps, APIs, observability, and modern platform design

Experience with Mar Tech ecosystems, customer engagement platforms, personalization, content intelligence, customer data platforms, Adobe or comparable products, Databricks, and MCP-based integrations

Demonstrated ability to transform traditional delivery and support teams into AI-native product teams using end-to-end engineering accountability and measurable outcomes

Demonstrated solid executive presence with the ability to translate agentic AI strategy, responsible AI governance, delivery risks, and business value for senior stakeholders

Preferred Qualifications:

AI/ML certifications Solid written and verbal communication skills

Pay is based on several factors including but not limited to local labor markets,…