Automation Digital Product Manager

Position Summary

As an Automation Digital Product Manager within the Automation Center of Excellence, you will lead the end-to-end delivery of automation opportunities, from intake and discovery through deployment and continuous optimization.

This role is accountable for owning intake, feasibility assessment, roadmap development, backlog prioritization, and delivery execution, while ensuring strong alignment with business objectives. You will partner closely with business stakeholders to understand their operating models, core processes, challenges, and pain points, and translate those insights into a prioritized and sustainable pipeline of automation opportunities.

You will also play a critical role in nurturing business relationships, proactively expanding the automation portfolio, and ensuring continuous value delivery to business organizations through automation and process optimization.

Key Responsibilities

Business Engagement & Relationship Management

• Build and maintain strong relationships with business stakeholders across supported organizations

• Act as a trusted partner and advisor, deeply understanding business needs and priorities

• Proactively nurture business relationships to grow the automation backlog and expand impact

• Identify opportunities to drive additional value through automation and process improvements

• Regularly engage stakeholders to align on priorities, roadmap, and delivery progress

Intake, Discovery & Opportunity Identification

• Lead intake and feasibility efforts by engaging with business stakeholders to:

  • Understand core processes, workflows, and operating models

  • Identify pain points, inefficiencies, and challenges

• Identify and shape new automation opportunities aligned to business needs

• Build and document end-to-end process workflows and process maps

• Define and document:

  • Problem statements

  • Scope of automation

  • Business requirements and expected outcomes

• Develop business case value, including efficiency gains, cost savings, and operational impact

Automation Roadmap & Prioritization

• Partner with business stakeholders to shape and manage automation roadmaps for supported business groups

• Evaluate and prioritize opportunities based on value, complexity, and strategic alignment

• Own and manage the opportunity pipeline and product backlog

• Lead backlog refinement to ensure readiness and clarity for development

End-to-End Opportunity Delivery Ownership

• Own and manage the full lifecycle of automation opportunities, from intake through delivery and post-production support

• Develop detailed delivery plans, including:

  • Timelines and milestones

  • Resource planning and hours allocation

• Perform and validate effort estimates across requirements, development, and testing

• Track and report status, progress, risks, and outcomes to leadership (LT) and business stakeholders

• Proactively identify, manage, and resolve risks, dependencies, and blockers to ensure successful delivery

Requirements & Product Management

• Lead requirements gathering in close partnership with business teams

• Translate requirements into user stories, acceptance criteria, and functional specifications

• Own backlog management, prioritization, and refinement

• Facilitate user story reviews and secure business sign-off prior to development handoff

• Ensure clear, structured handoff of requirements to technical teams

Cross-Functional Collaboration

• Collaborate with engineering, architecture, automation SMEs, and business teams to drive delivery

• Serve as the bridge between business and technical teams, ensuring alignment and clarity

• Manage dependencies across cross-functional teams

Automation Performance & Continuous Improvement

• Define and track KPIs and success metrics to measure automation value

• Conduct post-implementation reviews to assess outcomes and identify enhancements

• Lead continuous improvement efforts, including:

  • Process optimization initiatives

  • Creating enablement materials (e.g., demo videos, walkthroughs)

  • Supporting adoption and knowledge sharing

Innovation & Emerging Technology Enablement

• Contribute to solutions leveraging:

  • Artificial Intelligence (AI)

  • Agentic automation frameworks

  • Robotic Process Automation (RPA)

  • Web-based applications

• Utilize prompting tools and AI techniques for analysis, day to day activities and solution support

• Apply hands-on experience with modern AI tools, such as:

  • Microsoft Copilot and Copilot Studio

  • GitHub Copilot

  • Claude and other large language model–based tools

  • Emerging AI platforms and productivity tools

• Support innovation initiatives and experimentation with new technologies

Domain Expertise Development

• Build and maintain deep knowledge of supported business domains and processes

• Act as a subject matter expert and strategic advisor to business stakeholders

• Continuously enhance understanding of industry trends and automation best practices

Required Qualifications

• 5+ years of experience in in Product Management, Product Ownership, and Project Management

• Proven ability to manage end-to-end lifecycle of automation or digital products

• Strong expertise in:

  • Process analysis and business discovery

  • Requirements gathering and documentation

  • Backlog prioritization and roadmap management

  • Agile/Scrum methodologies

• Hands-on experience with:

  • RPA solutions

  • AI and intelligent automation technologies

  • Web application delivery

• Experience working with modern AI tools such as:

  • Copilot, Copilot Studio, GitHub Copilot, Claude, or similar tools

• Experience with tools such as Azure DevOps, JIRA, or similar

• Strong analytical, problem-solving, and stakeholder management skills

• Excellent communication and influencing skills, including executive-level reporting

Preferred Qualifications

• Experience with agentic AI or advanced automation frameworks

• Strong process mapping and data analysis capabilities (e.g., Power BI)

• Certifications in Agile, Business Analysis, or RPA platforms

• Experience in healthcare, pharmacy benefits management (PBM), or similar industries

Education

• Bachelor’s degree in Computer Science, Information Technology, Business Administration, or related field

• Master’s degree or MBA preferred