Automation Digital Product Manager

Agama Solutions•San Jose, CA

About The Position

This role is responsible for managing the end-to-end lifecycle of automation and digital products. The Automation Digital Product Manager will engage with business stakeholders to identify, prioritize, and deliver automation opportunities, leveraging AI and other technologies to drive efficiency and value. This includes building strong relationships, leading discovery efforts, managing roadmaps, and collaborating with cross-functional teams to ensure successful delivery and continuous improvement.

Requirements

5+ years of experience 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.
Strong expertise in requirements gathering and documentation.
Strong expertise in backlog prioritization and roadmap management.
Strong expertise in Agile/Scrum methodologies.
Hands-on experience with RPA solutions.
Hands-on experience with AI and intelligent automation technologies.
Hands-on experience with 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.

Nice To Haves

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.

Responsibilities

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.
Lead intake and feasibility efforts by engaging with business stakeholders to understand core processes, workflows, and operating models, and 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.
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.
Own and manage the full lifecycle of automation opportunities, from intake through delivery and post-production support.
Develop detailed delivery plans, including timelines, 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.
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.
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.
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), and supporting adoption and knowledge sharing.
Contribute to solutions leveraging Artificial Intelligence (AI), Agentic automation frameworks, Robotic Process Automation (RPA), and 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, and emerging AI platforms and productivity tools.
Support innovation initiatives and experimentation with new technologies.
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.