Data Quality Lead
Listed on 2026-09-04
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IT/Tech
Data Analyst, Data Engineering
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.
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.
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 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.
-these are the main accountabilities and should make clear the decision making, level of supervision given and received, and how the accountabilities are completed; No accountability should have less than 5% allocated.)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 en
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