Senior Technical Project Manager

Job Summary

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives.

Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible.

The Senior Technical Project Manager (STPM) for Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and providers while growing at an accelerated rate.

This role is built for a new kind of project manager: one who actively uses AI tools to replace manual effort, accelerate delivery, and generate sharper insights across every dimension of program execution.

Role and Responsibilities:

AI-Driven Project Planning & Estimation

• Leverage AI-assisted planning tools to develop project schedules, estimate effort, model scenarios, and surface task dependencies — replacing manual planning approaches wherever possible.

• Use AI tools to analyze historical project data and similar prior efforts to generate more accurate duration estimates and resource forecasts.

• Continuously evaluate and adopt emerging AI capabilities that improve planning precision and delivery speed.

AI-Powered Reporting & Stakeholder Communication

• Produce flash reports, executive briefings, and progress updates using AI-assisted drafting and summarization tools — reducing manual reporting overhead while increasing quality and cadence.

• Build and maintain dashboards leveraging AI-enhanced analytics to provide real-time investment oversight and portfolio transparency to leadership.

• Communicate ideas clearly and concisely to leadership, using AI to synthesize complex program data into actionable narratives.

AI-Augmented Risk & Issue Management

• Apply AI tools to systematically identify, assess, and track program risks, issues, and key dependencies — enabling earlier detection and faster resolution than manual methods allow.

• Develop and implement risk mitigation strategies informed by AI-generated scenario analysis, drawing relevant technical and business conclusions.

• Maintain structured issue logs and resolution workflows, leveraging automation to reduce administrative burden and improve response times.

• Technical Collaboration with Engineering Teams

• Develop a solid understanding of cloud development, testing, and deployment activities, as well as integration patterns across distributed technical teams.

• Engage directly with architects, team leads, and engineers to evaluate technical approaches, proof-of-concept outcomes, and delivery trade-offs.

• Diagnose technical blockers and, in collaboration with engineering teams, identify AI-assisted alternatives to resolve issues efficiently.

• Consult with stakeholders to ensure alignment of program scope with organizational strategy and the Voice of the Customer.

Program Execution & Delivery

• Drive execution within agile methodologies — managing scope, tracking milestones, resolving issues, and coordinating release management across Stellus investments.

• Establish quality objectives and KPIs using appropriate quality management methods with stakeholder input.

• Apply analytical skills and process improvement techniques to drive sound business decisions with maximum organizational impact.

• Orchestrate with other project managers to ensure coordinated, streamlined releases across the portfolio.

Qualifications and Requirements:

• AI-Driven Project Planning & Estimation

• Leverage AI-assisted planning tools to develop project schedules, estimate effort, model scenarios, and surface task dependencies — replacing manual planning approaches wherever possible.

• Use AI tools to analyze historical project data and similar prior efforts to generate more accurate duration estimates and resource forecasts.

• Continuously evaluate and adopt emerging AI capabilities that improve planning precision and delivery speed.

• AI-Powered Reporting & Stakeholder Communication

• Produce flash reports, executive briefings, and progress updates using AI-assisted drafting and summarization tools — reducing manual reporting overhead while increasing quality and cadence.

• Build and maintain dashboards leveraging AI-enhanced analytics to provide real-time investment oversight and portfolio transparency to leadership.

• Communicate ideas clearly and concisely to leadership, using AI to synthesize complex program data into actionable narratives.

• AI-Augmented Risk & Issue Management

• Apply AI tools to systematically identify, assess, and track program risks, issues, and key dependencies — enabling earlier detection and faster resolution than manual methods allow.

• Develop and implement risk mitigation strategies informed by AI-generated scenario analysis, drawing relevant technical and business conclusions.

• Maintain structured issue logs and resolution workflows, leveraging automation to reduce administrative burden and improve response times.

• Technical Collaboration with Engineering Teams

• Develop a solid understanding of cloud development, testing, and deployment activities, as well as integration patterns across distributed technical teams.

• Engage directly with architects, team leads, and engineers to evaluate technical approaches, proof-of-concept outcomes, and delivery trade-offs.

• Diagnose technical blockers and, in collaboration with engineering teams, identify AI-assisted alternatives to resolve issues efficiently.

• Consult with stakeholders to ensure alignment of program scope with organizational strategy and the Voice of the Customer.

• Program Execution & Delivery

• Drive execution within agile methodologies — managing scope, tracking milestones, resolving issues, and coordinating release management across Stellus investments.

• Establish quality objectives and KPIs using appropriate quality management methods with stakeholder input.

• Apply analytical skills and process improvement techniques to drive sound business decisions with maximum organizational impact.

• Orchestrate with other project managers to ensure coordinated, streamlined releases across the portfolio.

Preferred Experience:

• Hands-on experience with diverse methodologies: Agile™, Iterative, and Waterfall.

• Experience with tools such as Smartsheet, JIRA Align, and similar platforms — especially AI-enhanced features within those tools.

• Experience with vendor negotiation and management.

• Familiarity with AI prompt engineering and workflow automation in a project management context.

• MBA or advanced degree.

Originally posted on Himalayas