Director of Analytics & AI

It All Starts with Our People

As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.

Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.

How You'll Make a Difference

Valvoline has a rewarding opportunity as a Director of Analytics & AI. As the Director of Analytics & AI, you’ll be responsible for the technical execution, scalability, and enterprise adoption of the company’s data and AI platforms. This role leads the engineering teams that build and operate the data fabric, analytics enablement tools, and AI assisted workflows that power analytics, automation, and decision-making across the business.

This leader is hands-on with architecture and execution, accountable for how data and AI tools are delivered, adopted, and operationalized, and serves as the bridge between platform engineering and business enablement. The role partners closely with product, engineering, cyber-security, analytics, and business leaders to ensure that data and AI capabilities are usable, trusted, and embedded into everyday workflows—not just built.

Key Responsibilities

Data Platform & Fabric Execution

• Own the design, build, and evolution of the enterprise data fabric, leveraging a combination of AWS & SAP data services and Databricks.
• Ensure scalable, secure, and cost-effective ingestion, transformation, and serving of data across domains.
• Drive engineering standards for data quality, observability, lineage, and reliability.

AI & Agentic Tooling Adoption

• Lead the integration of agentic and AI‑assisted tools into data engineering workflows, improving developer productivity, quality, and speed.
• Partner with AI platform and architecture efforts to operationalize AI capabilities (e.g., RAG‑based tools, MLOps/LLMOps patterns) as shared services.
• Establish repeatable patterns for safely introducing AI into engineering and analytics execution.

Self‑Service Analytics Enablement

• Own the Phase 2 design and execution plan for self‑service analytics across business units.
• Build and mature tooling, datasets, and patterns that enable business users and analysts to discover, trust, and use data independently.
• Ensure alignment between producer-owned data products and consumer analytics needs.

Enterprise Adoption & Change Leadership

• Drive adoption of data and AI tools across the organization, not just delivery.
• Partner with analytics, product, and business leaders to embed tools into real workflows.
• Establish feedback loops, usage metrics, and success measures to continuously improve platforms.

Engineering Leadership

• Lead, coach, and grow data engineering and platform engineering teams.
• Set technical direction, prioritize work, and ensure high standards of engineering quality.
• Collaborate with architecture, security, and infrastructure teams to align on standards and governance.

Company Culture & Leadership Expectations

We are building a people‑first, high‑performance culture that values clarity of purpose, strong execution, and continuous learning. Leaders are expected to model behaviors that reinforce trust, accountability, and collaboration while delivering meaningful business outcomes.

As a Director, you will be expected to:

• Lead with purpose and empathy, creating an environment where engineers and partners feel empowered to do their best work.
• Balance results with values, driving measurable outcomes while reinforcing how work gets done—not just what gets delivered.
• Foster a culture of learning and experimentation, especially as new data, analytics, and AI capabilities are introduced.
• Champion change and adoption, helping teams and business partners navigate transformation with clarity and confidence.
• Model modern technology leadership, emphasizing customer focus, automation, and disciplined execution across platforms and teams.

We believe the most successful leaders build capable teams, scalable systems, and shared ownership, ensuring that technology investments translate into real, sustained value for the business.

What You’ll Need to Succeed

Required Qualifications

• 10+ years of experience in data engineering, platform engineering, or analytics engineering roles.
• Proven experience leading enterprise‑scale data platforms (cloud‑based).
• Strong hands‑on knowledge of modern data stacks, including AWS & SAP data services and Databricks.
• Experience operationalizing AI or advanced analytics tooling in production environments.
• Demonstrated ability to drive adoption, not just delivery, of technical platforms.
• Our company supports remote work based in the continental US, but this role will have an expectation of at least one week of travel per month for in-person collaboration and occasionally more than one week.

Preferred Qualifications

• Experience with data mesh or data product operating models.
• Familiarity with MLOps / LLMOps patterns and AI governance considerations.
• Prior experience leading platform teams that support multiple business units.
• Must be authorized to work in the U.S.

We Take Care of the WHOLE You

• Health insurance plans (medical, dental, vision)
• HSA and flexible spending accounts
• 401(k)
• Incentive opportunity*
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays*
• Employee Assistance Program
• Valvoline Instant Oil Change discounts
• Tuition reimbursement*
• Adoption assistance*

*Terms and conditions apply, and benefits may differ depending on position.

Your Path to Valvoline

Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email ECC@valvoline.com to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.