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Sr. Manager Technical Product Management; Hybrid

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: American Medical Association
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    IT Project Manager, Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Manager Technical Product Management (Hybrid)

Sr. Manager Technical Product Management (Hybrid)

Chicago, IL

Responsibilities Product Ownership
  • Serve as the product owner for data, automation, configuration and reporting technology and platforms supporting Organizational Biopsy™ and Joy in Medicine™, defining what capabilities exist and the standards they must meet.
  • Lead requirements gathering, grooming, prioritization, and roadmap planning for data platforms, reporting and configuration tools, and automation capabilities.
  • Research and draft proposed Organizational Biopsy™ question set changes, including data structure and methodological implications as well as input from the physician faculty and program delivery teams.
  • Continuously scan emerging tools, platforms, and approaches—including AI‑enabled capabilities—to inform roadmap recommendations and system evolution.
  • Actively gather and synthesize stakeholder input, user feedback, and performance data to drive prioritization, roadmap decisions, and continuous improvement of data products and analytics capabilities.
Platform and Vendor Management
  • Serve as the primary point of contact and relationship owner for data and technology vendors supporting Organizational Biopsy™ and Joy in Medicine™.
  • Provide vendor and platform selection input, scoping, and ongoing performance management, collaborating with the Product Director and internal stakeholders to get their input on criteria and decisions.
  • Translate product requirements and priorities into clear scopes of work, success criteria, and delivery expectations for vendors and platform partners.
  • Ensure platform and vendor‑delivered work meets defined standards for quality, security, reliability, and timeliness.
  • Oversee testing, quality assurance, and release planning for platform, reporting, and automation changes.
  • Manage platform and vendor‑related risks, dependencies, and lifecycle considerations as systems evolve.
Technical Delivery
  • Establish clear and collaborative intake, prioritization, sequencing, implementation and review processes for technical work across data, analytics, platforms, and automation efforts.
  • Manage technical backlogs and delivery cadence in partnership with internal teams and external vendors.
  • Balance near‑term delivery needs with iterative improvement of platforms, data products, and workflows.
  • Diagnose delivery blockers, dependencies, and cross‑cutting issues and lead resolution across teams.
  • Define and reinforce standards for documentation, handoffs, and readiness to support reliable iteration.
  • Foster a culture of continuous improvement, learning, automation, and accountability in data and technology delivery.
Staff Management
  • Lead, mentor, and provide management oversight for staff.
  • Responsible for setting objectives, evaluating employee performance, and fostering a collaborative team environment.
  • Responsible for developing staff knowledge and skills to support career development.

May include other responsibilities as assigned

Requirements
  • Bachelor's degree required, master's degree strongly preferred.
  • 7+ years of experience in technical or product management for data‑intensive platforms that combine analytics, automation, and user‑facing configuration capabilities.
  • Demonstrated ability to translate complex business, data, and client needs into reliable, scalable technical systems, balancing rigor, user experience, automation, and operational resilience.
  • Experience in people management required; able to attract and develop talent.
  • Strong systems thinking, with the ability to understand how platforms, data pipelines, automation, analysis, and reporting interact across the full program lifecycle.
  • Working knowledge of survey design best practices, including question construction, response bias, and psychometric validation techniques preferred.
  • Ability to work fluently with engineers, analysts, researchers, and vendors, asking the right technical questions and evaluating options without owning day‑to‑day build work.
  • Experience defining success criteria and holding partners or vendors accountable for agreed‑upon deliverables and performance expectations within program scope.
  • Demonstrated ability to establish and maintain effective product and data…
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