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Product Manager - Data & Decision Support

$80k - $115k
Full-time

Macmillan

Role Description

The Associate Product Manager, Data & Decision Support supports the discovery, development, and delivery of internal data and system capabilities that enable stakeholders across the organization to make more informed, efficient, and impactful decisions.

  • Working closely with Product, Engineering, Data, Analytics, and business stakeholders to identify problem areas, gather and synthesize inputs, and contribute to the definition of product solutions.
  • Assisting in translating business needs and decision workflows into clear, actionable requirements that support the delivery of scalable and reliable data capabilities.
  • Contributing to roadmap development, prioritization, and execution while building foundational product management skills.
  • Developing strengths in stakeholder collaboration, systems thinking, and outcome-driven delivery, with increasing responsibility over time.

This role does not have managerial responsibilities.

Major responsibilities include, but are not limited to:

  • Support discovery efforts to identify problems related to data, reporting, and decision-making workflows across internal stakeholder groups.
  • Gather and synthesize qualitative and quantitative inputs (e.g., stakeholder feedback, system data, operational metrics) to help inform product opportunities.
  • Assist in identifying patterns, pain points, and areas of opportunity across systems and workflows.
  • Contribute insights to support prioritization and roadmap discussions.
  • Support validation of potential solutions through data analysis and stakeholder feedback.
  • Support backlog management for internal data and system initiatives, ensuring work items are clearly documented, organized, and up to date.
  • Gather and synthesize inputs required for prioritization, including business value, stakeholder needs, effort, dependencies, and risks.
  • Help ensure backlog items are well-defined with clear requirements, acceptance criteria, and success metrics.
  • Support prioritization processes by preparing materials, surfacing trade-offs, and maintaining visibility into competing requests.
  • Track and communicate changes in priorities, helping maintain alignment across stakeholders and reduce confusion or rework.
  • Support execution of product initiatives in partnership with Engineering, Data, Analytics, and Business Systems teams.
  • Assist in translating business needs into user stories, workflows, and requirements documentation.
  • Track progress, risks, and dependencies across initiatives, ensuring work stays aligned and on track.
  • Proactively surface blockers, gaps, or risks, and escalate as needed to support timely resolution.
  • Support testing, validation, and rollout of new capabilities to ensure solutions meet defined requirements.

Qualifications

  • 1–3 years of experience in a product, operations, analytics, or related role involving cross-functional collaboration and problem-solving.
  • Demonstrated ability to support execution of cross-functional initiatives, managing multiple workstreams and deadlines effectively.
  • Strong organizational skills and attention to detail, with the ability to structure and manage complex information.
  • Ability to gather, synthesize, and clearly communicate insights from qualitative and quantitative inputs.
  • Comfort working with data to inform decisions (e.g., experience with analytics tools, basic SQL, or similar).
  • Ability to work effectively with cross-functional stakeholders and incorporate diverse inputs into problem-solving.
  • Demonstrated ability or interest in understanding how systems, data, and workflows connect across an organization.
  • Comfort operating in ambiguous environments, with a willingness to take initiative and learn.
  • Strong written and verbal communication skills, with the ability to translate complex concepts for different audiences.
  • Experience in applying AI, automation, or advanced analytics to improve workflows and decision-making.

Requirements

  • Bachelor's Degree.
  • 3 years’ experience designing and building new products or internal systems, and enhancing existing capabilities.
  • 2 years’ product management or related experience (e.g., business analysis, data product, systems product).
  • Demonstrated ability to contribute to product strategy and independently drive execution from discovery through delivery.
  • Experience working with data systems, analytics platforms, or internal tools, translating business needs into technical solutions.
  • Comfort collaborating closely with engineering and data teams, including scoping, estimation, testing, and validation.
  • Experience applying AI, automation, or advanced analytics to improve workflows, decision-making, or operational efficiency.
  • Strong systems thinking, with the ability to understand dependencies across tools, data pipelines, and workflows.
  • Experience operating in ambiguous or evolving environments, helping define processes such as intake, prioritization, or product operations.
  • Strong stakeholder management skills, with the ability to build trust and drive alignment across cross-functional teams.
  • Demonstrated ability to influence and deliver outcomes without direct authority.
  • Strong quantitative, analytical, and problem-solving skills.
  • Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences.
  • Experience demonstrating high ownership mindset with the ability to balance strategic thinking and hands-on execution.

Benefits

  • Competitive pay and bonus plan.
  • Generous Health Benefits (Medical, Dental, Vision).
  • Contributions to your 401k retirement account through Fidelity.
  • Generous paid time off, sick time, floating holidays, and paid holidays (Spring Reset Day, Juneteenth, Indigenous People's Day, Election Day, and more!).
  • Employee Assistance Program, Education Assistance Program.
  • 100% employer-paid life and AD&D insurance.
  • And much more!
Vacancy posted 13 hours ago
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