Director, Data Operations & Delivery

Support Office
- Vancouver

Full time

R-256028

Sr. Manager, Data Operations & Delivery

Support Office
- Vancouver, Full time

$ - $

As part of the Mars Petcare family of businesses, Mars Veterinary Health is a global network of veterinary practices made possible by 75,000 Associates who care for millions of pets across nearly 3,000 clinics in more than 20 countries each year. We are committed to leveraging our reach to make a long-term positive impact on people, pets, and the planet and know our Purpose – A BETTER WORLD FOR PETS – starts with the people who care for them.

We strive to offer unparalleled veterinary care for pets by first and foremost enabling and empowering our Associates to do what they love, whether in primary, specialty, and emergency care or management and leadership.

The Director, Data Operations & Delivery enables effective execution of the Data & AI organization’s priorities by bringing together program and project management, operational excellence, portfolio management, organizational metrics, and executive communications.

This role partners closely with Data & AI leadership to translate strategic priorities into actionable plans, establish consistent ways of working, improve operational effectiveness, and provide visibility into progress, risks, and business impact. The role leads a team of program/project management and communications professionals and works across a complex, global, matrixed organization to drive alignment and execution.

• Live and exemplify the Five Principles of Mars, Inc. within self and team.
• Lead, develop, and inspire a team responsible for program/project management, delivery, organizational metrics, and communications.
• Translate Data & AI priorities into actionable operating plans, objectives, and execution roadmaps.
• Establish effective operating rhythms, governance, and accountability across the organization.
• Partner with Data & AI leadership to advance organizational priorities and identify opportunities to improve effectiveness, efficiency, and ways of working.

• Establish scalable processes, standards, and ways of working that improve the efficiency and consistency of Data & AI operations.
• Define operational data management and service management practices, including processes, controls, performance measures, and issue management.
• Partner with Data & AI leadership to maintain a portfolio aligned to enterprise strategy and business priorities.
• Provide visibility into portfolio health, priorities, progress, risks, dependencies, and resource needs through dashboards, metrics, and regular leadership updates.
• Coordinate delivery of high-priority strategic initiatives, ensuring clear objectives, milestones, owners, and measures of success.
• Identify delivery risks, dependencies, and resource constraints and facilitate resolution across teams.
• Promote consistent program and project management practices across the Data & AI organization.
• Support prioritization and trade-off decisions by providing leaders with clear data and insights on capacity, timing, investment, and expected outcomes.

• Develop and maintain organizational metrics, dashboards, and reporting that measure progress against strategic priorities, operational performance, and business outcomes.
• Analyze trends and performance information to identify opportunities, risks, and areas requiring leadership attention.
• Develop executive presentations, business reviews, leadership updates, and organizational communications.
• Translate complex data, technology, and delivery information into clear, concise messages for senior leaders and broader stakeholders.
• Communicate organizational priorities, accomplishments, challenges, and business impact.
• Facilitate leadership decision-making by bringing together critical stakeholders, information, and recommendations.

• Build strong relationships across Data & AI, Technology, business units, corporate functions, and other enterprise stakeholders.
• Connect teams and initiatives to improve alignment, transparency, and execution.
• Influence outcomes across organizational boundaries and help resolve issues that span multiple teams.
• Promote a culture of accountability, collaboration, continuous…