Note: The job is a remote job and is open to candidates in USA. Macmillan Learning is committed to driving innovation that transforms education, and they are seeking a Product Manager - Data & Decision Support. This role is responsible for driving the discovery, development, and delivery of internal data and system capabilities that enable stakeholders to make informed decisions, working closely with cross-functional partners to identify opportunities and define product solutions.
Responsibilities
- 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
- Lead discovery efforts to identify high-impact problems related to data, reporting, and decision-making workflows across internal stakeholder groups
- Gather and synthesize qualitative and quantitative inputs (stakeholder feedback, system data, operational metrics) to inform product opportunities and priorities
- Shape product direction in partnership with the Group Manager, including opportunity sizing, defining success metrics, and aligning to organizational goals
- Identify opportunities to improve data accessibility, workflow efficiency, and decision-making through the application of automation and AI-enabled solutions
- Develop recommendations and business cases to support prioritization and roadmap decisions
- Drive the evolution of product management processes in a rapidly developing environment, including discovery, intake, and prioritization practices
- Own backlog management for internal data and system initiatives and contribute to the evolution of intake processes, supporting scalable and effective ways of working
- Evaluate incoming requests and opportunities based on business value, feasibility, dependencies, and alignment to organizational priorities
- Ensure backlog items are clearly defined with requirements, acceptance criteria, and measurable outcomes
- Make prioritization recommendations and surface trade-offs, aligning with the Group Manager on higher-impact or cross-functional decisions
- Communicate priorities, trade-offs, and roadmap updates for assigned initiatives or product areas to ensure transparency and alignment
Skills
- 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
- 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
- Experience working on internal-facing products, data platforms, or enterprise systems
- Familiarity with data warehouses, data pipelines, or modern analytics tooling (e.g., BI tools, semantic layers)
- Working knowledge of SQL or experience querying and validating data
- Experience applying data, analytics, or automation to improve business processes or decision-making
- Experience working within CRM, marketing, financial, or operational systems ecosystems
- Experience in education, EdTech, publishing, or other multi-stakeholder environments
- Familiarity with Agile or other product development methodologies
Benefits
- Regular full-time and qualifying part-time employees and their dependents are eligible for Macmillan benefits, effective on the employee’s date of hire.
- Macmillan also offers health benefits coverage to qualifying same-sex and opposite-sex domestic partners (may require additional documentation) of active employees.
- 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!
Company Overview
Macmillan Learning improves lives through learning and offers content developed in partnership with the authors, educators, and developers. It is a sub-organization of Macmillan. It was founded in 1946, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is http://www.macmillanlearning.com/.