Data Quality Lead

Campbell Soup Company; Camden (NJ); On-site; USD 134,000 - 185,000; Full time

Job summary

Campbell Soup Company is seeking a Data Quality Lead to define and implement a comprehensive data quality program across the enterprise. The role drives governance, monitoring and remediation to ensure trusted data supports growth and informed decision‑making.

You will partner with Data Owners and Data Stewards, lead training on governance processes, and champion a culture of data excellence while aligning with enterprise standards and regulatory obligations.

Qualifications

• Bachelor’s degree in a science, data science or IT related field.
• Minimum of 5+ years of experience in data stewardship, data quality management or data governance; experience in consumer‑packaged goods (CPG) preferred.

Responsibilities

• Define and drive enterprise data quality strategy and roadmap.
• Oversee data quality monitoring, triage, remediation and governance across domains.
• Lead data profiling, cleansing and enrichment strategies and build an enterprise quality dashboard.

Skills

Data governance

Data quality

Data stewardship

Data profiling

Power BI

Education

Bachelor's degree in science/data IT

Tools

Power BI

Data catalog (Data.world)

Job description

Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover, Swanson, and V8. Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell’s

Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners). Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting. Campbell’s offers unlimited sick time along with paid time off and holiday pay. If in WHQ – free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store. Giving back to the communities where our employees work and live is very important to Campbell’s. Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually. Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees.

How You Will Make History Here

The Data Quality Lead is a role within the Central Data & Product Delivery Team at The Campbell’s Company. This role will report to the Enterprise Data Governance Lead and will be responsible for defining and implementing a data quality program that empowers our organization with trusted, high-quality data that drives growth, ensures compliance, and enhances decision-making across the enterprise.

Responsibilities

Responsibilities include defining and driving our enterprise data quality (DQ) strategy, delivering oversight of quality standards & lifecycle, and application of data quality rules within our data lake and enterprise systems. This individual will define and lead data quality monitoring, issues triage and remediation in partnership with Data Owners/Data Stewards across multiple domains within our divisions and corporate functions, including partnership with Master Data. The ideal candidate must have practical experience in data quality management and best practices. They should be familiar with data quality principles, tools, processes, and applications, and understand the importance of enterprise business processes, data quality, and applications. This role will partner with the Enterprise Data Governance Lead, to provide training and mentorship to Data Owners, Data Stewards, and Business Analysts to drive data literacy, adherence to the governance processes and champion a culture of data excellence.

What You Will Do

• 30% Data Quality Strategy and Maturity Growth
  • Define and drive the enterprise data quality strategy and roadmap, ensuring it is embedded in the organization’s overall data strategy and transformation agenda.
  • Implement and maintain a federated data quality model with cross‑functional Data Stewards. Partner with the head of the Central Data & Product Delivery Team and Data Governance Lead to develop recommendations for longer‑term resource models to support the strategy.
  • Drive enterprise‑wide maturity growth, shifting from reactive cleanup to proactive, prevention‑first practices.
• 35% Data Quality Implementation
  • Own the enterprise data quality monitoring & incident management process with support from the Data Governance Lead, ensuring effective triage, escalation, root cause analysis, resolution, and communication with appropriate cross‑functional Data Owners/Data Stewards.
  • Collaborate with Data Owners, Data Stewards, System Owners, and Technical teams to resolve recurring issues and strengthen data reliability. With support from Data Governance Lead, validate that corrective and preventive measures are sustainable and embedded into business and technical processes.
  • Oversee the design, rollout, and ongoing enhancement of an enterprise data quality dashboard, ensuring visibility of quality KPIs & thresholds across all domains. Ensures the data meets agreed thresholds for completeness, validity, uniqueness, accuracy, timeliness across all data domains.
  • Partner with Business and IT teams to implement data profiling, cleansing and enrichment strategies across structured and unstructured data.
• 35% Enterprise Quality Standards & Governance
  • Establish and enforce enterprise‑wide data quality standards for master and reference data aligned with governance policies, business requirements, and regulatory obligations.
  • Govern and document the end‑to‑end lifecycle of data quality rules – from intake and design to approval, deployment, and retirement – ensuring traceability to business requirements and clear ownership.
  • Approve critical rule definitions and thresholds, ensuring accountability and remediation paths are in place.
  • Ensure data quality controls are embedded by design into data products and other application release processes, partnering with IT Delivery & Architecture teams and Data Owners.

Job Complexity / Scope

• Skilled in translating enterprise objectives into a multi‑year data quality strategy and phased roadmap, prioritizing initiatives based on business value, risk, and feasibility.
• Experienced building high performing teams and collaborating cross‑functionally to identify and drive changes, improvements, and facilitate decisions.
• Adept at influencing key stakeholders to implement new data quality processes and drive adoption to higher levels of maturity, and effectively communicate the value of data quality to the organization.
• Ability to balance centralized operating model & standards with a federated execution model.
• Expert at using critical thinking and problem‑solving skills to identify data quality issues, perform root cause analysis, and identify issue resolution & improvement opportunities.
• Proficient at learning new tools and other enterprise‑wide systems and solutions.
• Ability to work autonomously, prioritize day‑to‑day work, manage multiple projects and competing priorities with manager support.
• Comfortable with change and ability to navigate ambiguity.

Who You Will Work With

Enterprise Data Governance Lead, to provide training and mentorship to Data Owners, Data Stewards, and Business Analysts to drive data literacy, adherence to the governance processes and champion a culture of data excellence.

What You Bring to the Table – Must Have

• Bachelor’s degree in a science, data science or IT related field.
• Minimum of 5+ years of experience in data stewardship, data quality management or data governance; experience in consumer‑packaged goods (CPG) preferred.

What You Bring to the Table – Nice to Have

• Working knowledge of data catalog applications; experience with data.world is preferred.
• Hands on experience with profiling, rule authoring, monitoring, and data observability platforms; ability to standardize methods across diverse technologies.
• Understanding of standardization, matching, de duplication, and survivorship and how these controls integrate with upstream & downstream systems and data products.
• Skilled in translating business logic into executable checks with measurable thresholds.
• Ability to translate and document data requirements into technical terms for IT teams, and technical concepts into business terms for key stakeholders, Data Owners, Data Stewards.
• Strong written and verbal communication skills; ability to simplify complexity and drive alignment.
• Strong attention to detail and documentation.
• Proficient in using Outlook, Excel, Word, PowerPoint, Visio, SharePoint, Power BI or equivalent data visualization tools.

Compensation and Benefits

The target base salary range for this full‑time, salaried position is between $134,300-$184,700. Individual base pay depends on work location and additional factors such as experience, job‑related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

Equal Opportunity

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

Company Purpose

We’re proud to be a purpose‑driven company, connecting people through food they love.

Are you our missing ingredient?