Senior Technical Project Manager

Embedded Shishya; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Stellus Rx is seeking a Senior Technical Project Manager to lead AI‑driven delivery across our technology teams and partners. You will partner with Stellus Rx leaders to plan, track, and optimize programs that impact patient outcomes at scale.

You will apply AI tools to project planning, reporting, risk management and cross‑functional collaboration, developing schedules, surfacing dependencies, and communicating progress to leadership.

Qualifikationen

• Experience with AI-assisted project planning and estimation.
• Strong communication with executives and stakeholders.
• Familiarity with Agile, Iterative, and Waterfall methods.

Aufgaben

• AI-Driven planning & estimation to develop schedules and surface task dependencies.
• AI-Powered reporting and stakeholder communications with dashboards.
• AI-Augmented risk & issue management across programs.
• Technical collaboration with architects, engineers and delivery teams.
• Drive execution within agile methods and coordinate releases across portfolios.

Kenntnisse

AI-driven planning

Agile delivery

Stakeholder communication

Ausbildung

MBA or advanced degree

Tools

Smartsheet

JIRA Align

Jobbeschreibung

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 interfere to accomplish.
• Technical Collaboration with Engineering Teams

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.