Manager, Product Management

Project Management Institute

About The Position

The Manager, Product Management, role owns the product strategy and delivery execution for PMI's marketing technology portfolio, with a primary focus on the ecommerce ecosystem and early-stage AI enablement across marketing. The manager leads a team of Product Owners, Business Analysts, and Product Managers embedded within Marketing and aligned to agile delivery teams. The portfolio spans PMI's core marketing technology platforms: enterprise commerce and web experience built on Magento and Sitecore, event technology, and mobile enablement, all underpinned by the data foundations that connect them. The role operates at the intersection of platform ownership and enterprise delivery, partnering closely with Technology, Data and Analytics, Architecture, Security and Privacy, and the Scrum Center of Excellence to ensure the stack evolves with intention and measurable impact.

Requirements

10+ years in product management and digital platform delivery, including direct people leadership of Product Owners and Business Analysts.
Demonstrated expertise delivering ecommerce platforms - ideally Magento or comparable - with direct accountability for conversion, checkout, and commerce KPIs.
Experience delivering CMS and web experience platforms, preferably Sitecore, at enterprise scale across multiple properties.
Hands-on experience with agile product delivery practices including backlog management, sprint planning, story writing, acceptance criteria definition, and release governance.
Proven portfolio governance capabilities: prioritization frameworks, dependency management, roadmap discipline, and executive stakeholder alignment.
Track record of partnering with engineering, architecture, and data teams to deliver integrated, scalable platform capabilities with measurable business outcomes.
Strong data fluency - able to define KPIs, interpret analytics, and drive product decisions from evidence rather than assumption.
Experience driving eCommerce and business outcomes across acquisition, conversion, and retention, using MarTech platforms and lifecycle orchestration.
Experience establishing and scaling product owner practices within Agile teams, including PI planning, backlog prioritization, and SAFe-aligned delivery models.
Experience with enterprise marketing automation platforms, including journey orchestration, segmentation, and cross-channel activation.
Understanding of marketing and commerce data foundations.
Familiarity with AI-enabled marketing capabilities, including LLM-based tools, prompt design, and integration with APIs and data pipelines; hands-on experimentation is a plus.
Fluent in English (PMI's business language)
Results-driven with a positive, resilient mindset

Nice To Haves

Experience with tools such as OpenAI, Claude, LangChain, or similar is a plus.
Hands-on experimentation with AI is a plus.

Responsibilities

Owns portfolio-level prioritization and delivery alignment across Marketing's core commerce and experience platforms, serving as the escalation point for cross-team dependencies and tradeoffs.
Leads and develops the embedded product delivery team; defines standards for intake, delivery readiness, backlog governance, and value measurement.
Drives measurable outcomes in ecommerce conversion, membership growth, and platform reliability.
Identifies and scopes AI and automation opportunities that can improve marketing throughput and commerce performance, with a bias toward use cases that are feasible to pilot and scale within the existing stack.
Partners with Technology, Data, and Architecture to ensure the MarTech ecosystem evolves toward scalable, integration-led architectures that support faster experimentation and reduce manual overhead.
Own end-to-end prioritization and execution across Magento commerce journeys, Sitecore web experience, membership commerce, marketing automation, event technology, mobile, and data foundations.
Translate growth priorities into quarterly roadmaps and coordinated delivery plans, balancing BAU, risk and compliance work, and strategic initiatives.
Define and manage the commerce technology roadmap with emphasis on checkout optimization, conversion improvement, and post-purchase experience quality.
Drive platform reuse, performance, and reliability through standardized components, governance patterns, and disciplined delivery practices.
Identify and execute integration opportunities across commerce, CRM, and data platforms to reduce journey friction and improve cross-platform data consistency.
Help define AI adoption across the MarTech portfolio, not execute against a finished playbook.
Identify and scope AI use cases grounded in real platform problems: commerce conversion signals, automated campaign QA, journey trigger optimization, and intelligent segmentation are starting points, not the ceiling.
Understand how AI agents work in practice, including how they are prompted, chained, and integrated with existing systems via APIs and orchestration layers. You do not need to write production code, but you need to be fluent enough to partner credibly with engineers and evaluate what is feasible.
Familiarity with how LLMs and agent frameworks interact with data, tools, and workflows is expected. Experience with tools such as OpenAI, Claude, LangChain, or similar is a plus.
Establish governance guardrails for AI tool adoption within Marketing, covering data privacy, output quality review, and appropriate human-in-the-loop checkpoints.
Partner with engineering and data teams to pilot use cases, define success metrics, and create a path from experiment to production for capabilities that prove out.
Lead, coach, and develop the product team across Product Owners, Business Analysts, and Product Managers; set clear expectations for discovery, delivery, and measurable outcomes.
Establish and enforce standards for epic and story decomposition, acceptance criteria quality, definition of ready, definition of done, and sprint-level delivery commitments.
Drive backlog health across all product areas - ensuring prioritization is outcome-driven, dependencies are visible, and technical debt is actively managed alongside feature delivery.
Define capacity planning and roadmap transparency practices that give leadership and partners a reliable view of what is being built, when, and why.
Manage vendors and delivery partners with clear SLAs, quality gates, and outcome accountability.
Ensure instrumentation and tagging requirements are embedded in delivery across web, commerce, and mobile, aligned with consent and privacy standards.
Enable a repeatable experimentation cadence - A/B and multivariate testing - with clear KPIs, hypothesis framing, and post-test learning documentation.
Improve release quality and reliability through disciplined QA standards, performance benchmarking, and post-incident retrospectives.
Use analytics and behavioral data to continuously surface conversion friction, platform degradation, and journey drop-off across commerce flows.
Partner with Technology and Architecture on non-functional requirements including security, performance, resilience, and platform modernization sequencing.
Align with the Scrum Center of Excellence and Transformation Management Office on agile practices, delivery metrics, and transformation initiatives.
Represent Marketing product priorities clearly to executive stakeholders - translating platform capability into business impact.