Top Product Owner Jobs in Boston, MA

Owns and improves data science platform capabilities that help Data Scientists build, deploy, and operate AI/ML solutions. Responsibilities include representing platform users, shaping product strategy and roadmaps, analyzing usage and adoption metrics, prioritizing backlogs, defining user stories and acceptance criteria, evaluating technologies, partnering with technical teams, and supporting Agile planning and delivery.

Own and prioritize the Workday/ERP product backlog, translate business needs into epics and user stories, partner with Finance and business leaders, support Agile delivery and releases, manage integrations and reporting, ensure compliance and security, and drive continuous improvement and adoption across Workday modules.

Owns product vision execution by translating customer and business needs into prioritized requirements, user stories, acceptance criteria, and Agile team backlogs. Partners with architecture, engineering, QA, and stakeholders to deliver solutions, manage risks and dependencies, evaluate defects, monitor OKRs, and present product outcomes. Supports governance forums, product proposals, roadmap communication, and continuous Agile and process improvement within a complex financial services organization.

Own the technical product roadmap, backlog, architecture direction, and delivery cadence for Takeda’s AI-driven Discovery Automation and Robotics product family. Translate scientific and business goals into technical requirements, manage Agile delivery, guide engineering and data teams, oversee integrations with laboratory platforms, make technical trade-offs, manage risks and external partners, and ensure scalable solutions support automated small-molecule discovery workflows.

Own the technical roadmap, backlog, architecture direction, and delivery execution for Takeda’s AI-native large molecule discovery software products. Partner with business, scientific, engineering, data, and ML leaders to translate discovery workflows into scalable technical requirements and releases. Manage Agile delivery, technical risks, integrations, KPIs, external development partners, and architectural alignment across scientific platforms. Apply biology and laboratory workflow expertise to guide AI-enabled product development and technical trade-offs.

Leads the technical product strategy, backlog, architecture, and delivery roadmap for Takeda’s AI-native laboratory endpoint generation products. Translates scientific and business needs into technical requirements, coordinates engineering, data science, ML, and infrastructure teams, and ensures integration with laboratory platforms such as ELN/LIMS and scientific data lakes. Owns technical trade-offs, delivery quality, engineering KPIs, external partners, and alignment across the Labs of Tomorrow portfolio while enabling AI/ML-driven scientific workflow redesign.

Leads the technical roadmap, backlog, architecture, and delivery for Takeda’s AI-native small molecule discovery software products. Partners with scientific and business leaders to translate chemistry workflows into technical requirements, manage Agile delivery, guide engineering and ML teams, oversee integrations with laboratory platforms, and coordinate external development partners. Requires chemistry expertise, hands-on technical experience, product ownership, scientific software knowledge, and familiarity with AI/ML, cloud, data platforms, and laboratory systems.

Own the strategy, roadmap, backlog, delivery, governance, and business outcomes for Liberty Mutual Investments’ Enterprise Data Management portfolio. Lead security, pricing, reference, issuer, FX, and cash-flow data capabilities; improve quality, availability, automation, and operational stability. Coordinate Product, Technology, Operations, Accounting, Data, and vendors while managing dependencies and incidents. Drive modernization and responsible AI adoption across data operations, exception handling, testing, support, and self-service in a regulated investment environment.

Own the strategy, roadmap, backlog, delivery, governance, and business outcomes for Liberty Mutual Investments’ Enterprise Data Management product. Lead security, pricing, reference, issuer, FX, and cash-flow data capabilities; improve quality, automation, workflows, and operational resilience. Coordinate Product, Technology, Operations, Accounting, Data, vendors, and senior stakeholders. Drive platform modernization, agile delivery, AI-enabled workflows, responsible AI adoption, incident response, and vendor accountability across a complex investment-management environment.

Owns the vision, roadmap, backlog, and delivery outcomes for a large product or product portfolio. Represents customer and stakeholder needs, writes user stories and acceptance criteria, collaborates with agile delivery teams, and influences senior partners across the organization. Uses design thinking and analytics to guide product decisions, coordinates dependent backlogs, manages risk and regulatory controls, and supports digital transformation initiatives.

Own and continuously improve an employee knowledge management product for a regulated financial-services organization. Responsibilities include backlog ownership, requirements, workflow and low-code platform configuration, SharePoint administration, content governance, taxonomy, search, reporting, testing, release readiness, stakeholder alignment, and ongoing technical operations. The role also supports content development, responsible AI adoption, audit controls, and lifecycle management across enterprise knowledge assets.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Coordinate the full lifecycle of enterprise data products, including intake, governance, certification, documentation, provisioning, testing, release readiness, adoption, and change management. Partner across product, engineering, governance, operations, platform, and client delivery teams to manage dependencies and clarify ownership. Develop reusable standards, playbooks, data dictionaries, and process documentation while applying product management and data-governance expertise to prioritize roadmaps and improve scalable data capabilities.

Own and prioritize the Universal Gateway backlog for DICOM, DICOMweb, HL7, and pathology imaging workflows. Partner with engineering, SRE, hosting, design, customers, and business teams to define requirements, acceptance criteria, reliability targets, and delivery priorities. Validate high availability, failover, performance, and conformance requirements for cloud-based clinical imaging infrastructure. Track agile delivery metrics, manage risks, support testing and beta programs, and make technical trade-off decisions aligned with product strategy.

Owns the execution bridge between product strategy and engineering delivery for data-focused products. Responsibilities include managing Agile backlogs, defining epics and user stories, writing acceptance criteria, validating data and APIs with SQL, supporting testing and releases, collaborating with engineering and UX teams, and translating business and technical requirements. The role also monitors data quality, supports documentation, and mentors colleagues.

Owns product strategy, roadmaps, and backlogs for enterprise integration platforms. Partners with business stakeholders, architects, engineering, QA, UX, and support teams to translate business needs into prioritized requirements and deliver high-value technology solutions. Leads Agile ceremonies, manages dependencies, communicates risks and outcomes, monitors product performance, and drives continuous improvement. The role requires strong technical understanding of backend integrations, APIs, MongoDB, and Java, along with the ability to influence senior leaders and cross-functional teams.

Owns Agile team backlogs, defines and prioritizes user stories, develops acceptance criteria, supports PI Planning, and delivers roadmap priorities. Partners with Product Managers, analysts, engineers, customers, and stakeholders to maximize customer and business value. Uses customer feedback, usability research, metrics, and analytics to inform decisions, manage tradeoffs, and continuously improve products.

Owns and prioritizes the workforce management product backlog, translating complex business and operational needs into requirements, user stories, and measurable technology outcomes. Partners with engineering, architecture, analytics, vendors, and product stakeholders to manage dependencies, resolve competing priorities, and deliver improvements in forecasting, scheduling, reporting, capacity planning, and operational efficiency. Uses data to validate outcomes and operates independently in an ambiguous enterprise environment.

Owns the roadmap and backlog for P&C policy administration and commercial underwriting capabilities, including submissions, quoting, issuance, endorsements, renewals, risk evaluation, and AI-assisted decisioning. Partners with engineering, architecture, QA, customers, insurers, MGAs, and implementation teams to define workflows, integrations, configuration requirements, and Agentic AI use cases. Requires deep commercial underwriting and policy administration expertise, strong stakeholder management, and experience translating insurance processes into scalable platform capabilities.

Define product vision, roadmap, and backlog for technical products. Collaborate with engineering, design, and business teams to write user stories and acceptance criteria, run agile ceremonies, manage releases, and prioritize features based on business impact and technical feasibility.

Owns product vision execution by translating business and customer needs into prioritized requirements, managing Agile backlogs, defining user stories and acceptance criteria, and guiding cross-functional delivery. Partners with architecture, engineering, QA, and stakeholders to address risks, dependencies, defects, and technical debt. Presents product proposals and working software, monitors OKRs, supports governance, and drives continuous improvement across Federal Reserve Financial Services payment products.

Leads strategy, roadmap, backlog, and delivery for AI-powered causal inference and Real-World Evidence products supporting clinical development. Partners with digital, data science, translational medicine, development, and clinical operations teams to define requirements, prioritize features, track product outcomes, and drive adoption. Applies causal modeling, data science, and agile delivery to reduce development timelines, risk, and costs.

Own AI product roadmaps for finance and enterprise functions, translating business priorities into agent requirements, user stories, and deployment plans. Lead process discovery, redesign, sprint planning, stakeholder alignment, change management, training, governance, and ROI measurement. Partner with engineers and data architects to deliver production AI solutions, present results to executive stakeholders, support client growth initiatives, and mentor delivery team members.

Owns Bond Management workflow modernization using Appian in a regulated financial services environment. Responsibilities include process discovery, workflow configuration, backlog ownership, user story and acceptance criteria development, stakeholder facilitation, testing, release validation, KPI reporting, and post-release optimization. The role partners across business, operations, technology, risk, and product teams while applying AI-assisted tools and Appian best practices to deliver scalable, governed digital workflows.

Owns digital workflow product outcomes using Appian Designer in a regulated financial-services environment. Responsibilities include gathering requirements, mapping processes, managing backlogs, writing user stories, facilitating stakeholder sessions, configuring and testing workflows, supporting UAT and releases, building reports and dashboards, applying AI-assisted tools, and promoting reusable platform capabilities and governance. The role bridges business, operations, technology, risk, and product teams while driving iterative transformation and continuous process improvement.