Director Data Product Management & Governance

Hershey, PA, US

The Hershey Company

Here at Hershey, our purpose is to make more moments of goodness for consumers around the world.

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Job Location: Hershey, PA
Note: This position can be hybrid/remote with travel to Hershey, PA once or twice a month.

 

Overview


The Director of Data Product Management & Governance will report to the VP Enterprise Architecture & Data. The qualified candidate will be responsible for defining the data products and related roadmap, facilitating the execution of the roadmap, establishing and leading the enterprise data architecture and governance strategies to ensure data quality, consistency and accessibility across the organization. This role involves extensive collaboration with business leaders, IT teams, and data stewards to define the data products and roadmap, develop data policies, standards, and frameworks to support the organization’s strategic objective and data-driven decision-making.

 

Accountabilities
Top Responsibilities / Outcomes Expected


1.    Lead the definition of data products to address our prioritized business needs and strategic objectives. Develop the roadmap for these data products and facilitate the execution of that roadmap. ​
2.    Lead the design and implementation of the data architecture strategy in close collaboration with the enterprise architecture team, ensuring alignment with business goals and IT initiatives. Oversee the creation of data models, structures, and integrations to support efficient data management and usage.​
3.    Create and enforce data governance policies, procedures, and standards to ensure data integrity, quality, and security. Facilitate data stewardship and ownership across the organization to promote accountability and adherence to governance practices.​
4.    Work closely with business leaders, IT teams, and data stewards to understand data requirements and ensure the data architecture and governance strategies meet organizational needs. Drive cross-functional initiatives to enhance data integration and utilization.​
5.    Oversee compliance with data-related regulations and industry standards, such as GDPR, CCPA, and HIPAA. Implement and maintain controls to protect sensitive information and manage data privacy risks.​
6.    Guide and support data management projects, including data migration, integration, and transformation efforts. Ensure robust data lifecycle management practices are in place, from data creation and storage to archiving and disposal.​

 

Qualifications
Knowledge, Skills & Abilities


⦁    Strong expertise in Data Product Management ideally within the CPG industry. In depth knowledge and ability to apply product management methods and principles across the data analytics space.​
⦁    Very strong communication skills enabling to interact and effectively engage with influence across the enterprise (SME to executive leadership)​
⦁    In-depth knowledge of data architecture principles, data modeling, database design, and data integration techniques. Proficiency in using data management tools and platforms, such as ETL tools, data warehouses, and cloud-based data solutions.​
⦁    Expertise in data privacy regulations and compliance standards relevant to the industry. Ability to implement and maintain governance frameworks that ensure compliance with legal and regulatory requirements.​
⦁    Exceptional analytical abilities to assess data-related challenges and identify effective solutions. Strong problem-solving skills to address data quality issues and optimize data management processes.​

 

Experience & Education

⦁    Education: Bachelor’s degree in computer science, Information Systems, Data Management, or a related field. A master’s degree in a relevant discipline is preferred.​
⦁    Experience: Minimum of 5 years of experience in data architecture, data governance, or a related field, with at least 3 years in a leadership role. Minimum of 5 years of product management expertise with at least 3 years in data/data analytics product management. CPG experience highly preferred.​


 

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Tags: Architecture Computer Science Data Analytics Data governance Data management Data quality ETL Privacy Security

Region: North America
Country: United States

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