Program Manager, Data & Product Management

Campbell's•Camden, NJ

3d•Onsite

About The Position

The Program Manager, Data & Product Management serves as a key operational leader within the Central Data & Product Delivery Team, partnering closely with leadership to ensure enterprise investments in data, analytics, AI, data science, and digital capabilities are aligned to strategic priorities, have clear business ownership, and deliver measurable business value. This role is responsible for managing the intake, prioritization, governance, and performance management processes that enable the organization's data and digital strategy. The Program Manager will lead demand management processes, support the implementation of the Product Operating Model, coordinate adoption and value realization activities, and provide visibility into portfolio performance across enterprise initiatives. The role acts as a bridge between business stakeholders, Product Managers, Data Governance, Data & Analytics technology teams, and executive leadership to ensure the right work is prioritized, accountable business owners are identified and expected business outcomes are achieved. The Program Manager helps the enterprise answer four critical questions: Are we working on the highest-value opportunities? Is there a committed business owner accountable for adoption and value? Are we realizing the expected business outcomes? Do leaders have the visibility needed to make informed investment decisions? By establishing consistent processes, governance, and performance measures, this role helps ensure Campbell's digital investments remain focused on the initiatives that deliver the greatest business impact and strategic value.

Requirements

Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Engineering, or a related field.
6+ years of experience in program management, portfolio management, product management, business transformation, analytics, or related disciplines.
Experience leading large cross-functional initiatives involving both business and technology stakeholders.
Experience working with executive leadership teams and enterprise governance forums.
Experience developing executive reporting, governance processes, and performance measurement frameworks.
Strong understanding of portfolio management, program management, governance, and demand management disciplines.
Experience managing large cross-functional programs and complex stakeholder environments.
Working knowledge of data and analytics ecosystems, reporting platforms, AI capabilities, and data science programs.
Understanding of Product Operating Model concepts, including Product Management, Product Ownership, prioritization, roadmapping, adoption, and value realization.
Experience establishing governance practices, operating models, and performance management processes.
Exceptional facilitation, communication, and stakeholder management skills.
Ability to influence decisions and drive alignment without direct authority.
Strong executive communication and presentation capabilities.
Ability to balance strategic thinking with operational execution.
Proven ability to organize ambiguity and create scalable operating processes.
Experience defining and tracking KPIs, adoption metrics, business outcomes, and realized benefits.
Strong analytical and problem-solving capabilities.
Ability to synthesize complex information into executive-ready dashboards and insights.
Ability to assess competing priorities and support data-driven investment decisions.
Experience with one or more of the following: Portfolio and project management tools, especially Smartsheet and ADO. Product management platforms. Analytics and visualization tools (Power BI preferred). Data governance and data catalog solutions. Microsoft 365 ecosystem, including Teams, SharePoint, Power BI, PowerApps, and Copilot.

Nice To Haves

Experience supporting enterprise data, analytics, AI, or digital transformation programs.
Experience implementing or operating within a Product Operating Model environment.
Experience with adoption measurement, benefits realization, and value tracking.
Experience within a consumer products, manufacturing, supply chain, or commercial environment.
PMP, PgMP, Agile, Scrum, SAFe, Product Management, or similar professional certifications.

Responsibilities

Lead enterprise intake, evaluation, and prioritization processes for data, reporting, analytics, AI, and data science opportunities to ensure resources are focused on the highest-value business needs.
Facilitate evaluation, prioritization, and routing of incoming requests to appropriate Product Managers, Product Owners, and delivery teams.
Maintain a consolidated portfolio view of initiatives, priorities, backlog dependencies, business ownership, resource requirements, and implementation status.
Coordinate governance forums, prioritization reviews, and investment decision-making processes across business and technology stakeholders.
Ensure initiatives have defined business sponsors, accountable owners, adoption plans, expected outcomes, and value measurement approaches before entering delivery.
Support the rollout, adoption, and continuous improvement of Campbell's Product Operating Model.
Develop and maintain operating procedures, governance frameworks, intake processes, templates, and supporting documentation.
Partner with Product Managers and Product Owners to establish consistent planning, prioritization, roadmap, and value realization practices.
Promote adoption of product-centric ways of working across business and technology teams.
Support organizational change management, communications, and training activities related to digital governance and product management practices.
Establish and maintain processes to track adoption, utilization, business outcomes, and value realization for digital products and initiatives.
Partner with business stakeholders to define measurable success metrics, KPIs, and expected benefits.
Monitor performance against business commitments and identify risks to adoption or value realization.
Develop executive dashboards, scorecards, and portfolio reporting to provide transparency into performance and outcomes.
Facilitate value realization reviews and recommend actions when initiatives are not meeting expected results.
Coordinate cross-functional programs involving business functions, Product Managers, Data Governance, Data Science, Analytics, and IT Data & Analytics teams.
Manage governance activities, milestones, dependencies, risks, decisions, and stakeholder communications across the portfolio.
Facilitate steering committees, governance forums, prioritization reviews, and executive updates.
Drive accountability for action items, decisions, and follow-through across stakeholders.
Support annual planning, investment reviews, and portfolio prioritization processes.
Serve as a trusted partner to the VP, Digital, Data & AI Governance in establishing and operating the Central Data & Product Delivery Team.
Help define, implement, and continuously improve governance processes, operating rhythms, metrics, and management reporting.
Identify opportunities to improve transparency, efficiency, adoption, and business value across the digital portfolio.
Support strategic planning, roadmap development, organizational communications, and leadership presentations.

Benefits

medical
dental
short and long-term disability
AD&D
life insurance (for individual, families, and domestic partners)
matching 401(k) plan
unlimited sick time
paid time off
holiday pay
free access to the fitness center (at WHQ)
on-site day care (operated by Bright Horizons)
company store
Campbell’s Cares program matches employee donations and/or volunteer activity up to $1,500 annually
variety of Employee Resource Groups (ERGs)