Valvoline Global Operations · 1 day ago
Global Director, Data Science & Analytics
Lexington, KY
Full-time
Remote
Director/Executive
10+ years exp
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Hiring Manager
Monica Williamson, CDR
Insider Connection @Valvoline Global Operations
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Responsibilities
Lead and manage a global team of data scientists, data analysts, and data engineers across various regions.
Define the vision, strategy, and roadmap for data science and analytics, ensuring alignment with the company’s business goals and global pricing strategies.
Collaborate with cross-functional teams (e.g., product, marketing, operations, and finance) to identify and prioritize data initiatives that drive business value.
Champion the adoption of advanced analytics, AI, and machine learning solutions to solve complex business challenges, with a focus on pricing, revenue, and marketing analytics.
Foster a data-driven culture within the organization, promoting the use of data to inform decision-making at all levels.
Oversee the development of predictive models, statistical analysis, and optimization techniques to generate insights that impact business performance and pricing strategies.
Design and implement scalable analytics solutions to support growth, improve operational efficiency, and enhance customer experience, especially in market pricing and marketing analytics.
Develop key metrics and KPIs to measure and track business performance, delivering insights that drive continuous improvement.
Ensure proper data governance, security, and compliance measures are implemented and maintained globally.
Lead efforts to manage and integrate data into global platforms, ensuring data integrity, accessibility, and optimization across the organization.
Ensure the seamless integration of data across multiple business systems, such as SAP (preferably S4 HANA), Databricks, and Salesforce, to provide a unified view of key business metrics.
Work closely with IT and data engineering teams to ensure data infrastructure and architecture align with business needs.
Stay at the forefront of emerging data science technologies and methodologies, continuously seeking opportunities to leverage AI, ML, and big data analytics for innovation.
Guide the selection of tools, platforms, and infrastructure for scalable data processing, analysis, and visualization.
Promote best practices for data integrity, accuracy, and quality in data collection, storage, and analysis processes.
Leverage expertise in SAP (preferably S4 HANA), Databricks, Salesforce, and pricing analysis tools to improve forecasting, pricing models, and business insights.
Serve as a trusted advisor to senior leadership on all matters related to data science, analytics, data management, and pricing.
Partner with external vendors, academic institutions (as appropriate), and other organizations to bring new capabilities and innovative approaches into the company’s data strategy.
Present findings and recommendations to key stakeholders, translating complex data science concepts into actionable business insights.
Qualification
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Required
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
10+ years of experience in data science, analytics, or a related field, with at least 5 years in a leadership role managing global teams
Proven track record of developing and implementing data science strategies that drive business results
Strong experience with advanced analytics, machine learning, and big data platforms (e.g., Hadoop, Spark, AWS, Azure)
Familiarity with SAP (preferably S4 HANA), Databricks, Salesforce, and pricing analysis tools is required
Expertise in programming languages such as Python, R, or SQL, and familiarity with data visualization tools like Tableau, Power BI, or equivalent
Knowledge of data governance, data privacy regulations, and compliance (GDPR, CCPA, etc.)
Excellent leadership and team-building skills with the ability to manage global, cross-functional teams
Strong analytical and problem-solving abilities with a business-oriented mindset
Deep understanding of how data is managed and integrated across global platforms
Expertise in market pricing and marketing analytics
Exceptional communication skills, capable of presenting complex data insights to non-technical stakeholders
Ability to work in a fast-paced, dynamic environment and manage multiple priorities
Experience working in a global company or managing data science initiatives across different regions
Exposure to agile project management and product development methodologies
Preferred
Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
Experience in CPG or FMCG
Benefits
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
Employee discounts
Tuition reimbursement•
Adoption assistance•
Company
Valvoline Global Operations
Valvoline™ Global is a worldwide leader in automotive and industrial solutions, creating future-ready products and best-in-class services for partners around the globe.
1,001-5,000 employees
Funding
Current Stage
Late StageLeadership Team
Jamal Muashsher
President and CEO
James Holms
Chief Financial Officer
Company data provided by crunchbase
