Director, Data Platform Governance

At McCain, our Digital Technology team is dedicated to leveraging technology and data to drive profitable growth, enhance customer experience, and further our purpose of 'Celebrating real connections through delicious, planet-friendly food.' We have embarked on an ambitious digital transformation journey that spans our entire business, from Agriculture to Manufacturing, all with a focus on deepening our customer obsession.

As part of this transformation, we are making substantial investments in digital platforms, technology advancements, and fostering a data-driven culture. Our goal is to develop digital products that serve our customers, suppliers/growers, and McCain team members, enabling digital processes and data-driven automation. Through these investments, we aim to transform McCain into a company that empowers its teams with intuitive systems designed to enhance collaboration, productivity, and informed decision-making.

Are you ready to be part of this exciting journey? Join us and help shape the future of McCain through innovative technology solutions.

Leadership Principles.

Our principles, each with related practices, guide our actions across the organization. Together, they address how McCain interacts with our customers and employees, and how we work as individuals and collectively to find success. While each role adheres to the Leadership Principles, individual roles may focus more on a specific principle or principles.

• We are customer obsessed. Customers are our starting point. By understanding their needs and leveraging data and consumer insights, we drive mutual success.
• We think big and plan ahead. Through ambition, curiosity, and smart risks, we can accomplish goals, refine processes, and innovate to scale success.
• We bring out the best in our people. We create safe spaces for our people so that trust and empowerment come naturally. Inclusion is about listening first, showing humility, and working together.
• We act like owners. Together, we clear obstacles and do the work that makes us all successful and proud to be part of McCain.

Job Description:

As the Director of Data Platform Governance at McCain, you will be responsible for developing and implementing governance strategy for Enterprise data assets. You will lead result-oriented cross-functional engineering teams, partnering with business transformation leaders to implement data governance solutions to drive consistency and alignment across McCain's diverse business units and regions.

This role demands a deep understanding of CPG master data governance and requires technical expertise in SAP, Salesforce, data profiling tools, cloud platforms, and reference data systems.

Key Responsibilities

• Data Governance:
  • Develop and execute a comprehensive data governance framework, encompassing data quality, privacy, and security, to ensure the integrity and accuracy of McCain's data assets.
  • Establish SOP and document process flows for all data governance initiatives.
  • Engage with business transformation stakeholders globally to drive best practice sharing and adoption.
  • Monitor and enforce compliance with data governance policies, raising awareness of its importance for McCain's success, and implementing corrective actions as needed.

• Data Quality and Security Management:
  • Oversee the establishment and maintenance of data quality standards.
  • Define quality standards to maintain data accuracy across systems and platforms.
  • Establish metrics and KPIs to enable clear reporting of the accuracy, completeness, and consistency of McCain's data assets.
  • Build and deploy data quality management tools to monitor data quality systematically, remediate data issues, drive continuous improvements via alerting and automation.
  • Partner with engineering teams to implement data governance rules and policies in medallion data architecture, ensuring automation upfront.
• Data Security, Compliance and Risk Management
  • Oversee data security and privacy measures to protect McCain's data assets from unauthorized access, breaches, and cyber threats.
  • Ensure compliance with relevant data protection regulations and standards.
  • Identify and mitigate data-related risks across various business processes.
• AI Governance:
  • Establish governance frameworks for AI systems and machine learning models to ensure ethical and responsible use.
  • Implement monitoring and validation mechanisms for AI models to maintain accuracy and fairness.
  • Collaborate with AI and data science teams to integrate governance practices into the AI lifecycle, from development to deployment.
  • Ensure transparency and accountability in AI algorithms and decision-making processes.

Qualifications

• Master's degree in Computer Science, Information Systems, or related field.
• Expertise in data governance principles, methodologies, and best practices in CPG industry.
• Minimum 10 years of experience in data governance and analytics, including 3 years with CRM tools.
• Expertise in Reference Data Management, Data Catalog and Data Quality tools.
• Demonstrated ability to manage data governance in a cloud environment.
• Solid experience with cloud platforms and Lakehouse technology.
• 10+ years leading data teams in a global organization.
• SAFe Agile and Lean Six Sigma MBB certifications are preferred.

Key Attributes

• Excellent strategic thinking, analytical skills, and problem-solving abilities, with the ability to translate complex business requirements into actionable plans and initiatives.
• Exceptional communication and presentation skills, with the ability to influence and collaborate effectively with stakeholders at all levels.
• Proven ability to lead and inspire global teams in a fast-paced, dynamic environment, fostering a culture of innovation, excellence, and continuous improvement.
• Strong project and change management capability to handle multiple projects with conflicting priorities and deliver projects on time with excellence.
• A true passion for well-governed and accurate data; you know and can explain to others the real business risk of inaccurate or incomplete data.
• Have a “get things done” attitude. Roll up the sleeves when necessary; work with and through others as needed.
• Comfortable challenging the status quo and influencing teams and stakeholders towards automation and new ways of working.
• Can speak with credibility on digital ways of working: agile, user-focused design and need for automation and AI in business processes
• Comfortable working with ambiguity and defining a way forward to deliver results with aggressive timeline.

The above information indicates the general nature and level of work performed by employees within this classification. It is not a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.