Manager, Supply Chain Digital & Advanced Analytics CoE

Accountability statement:

Accountable for leading the Digital & Advanced Analytics function within the Supply Chain Center of Excellence (CoE) focused on accelerating the use of certified data advanced analytics and AI enablement for the advancement toward a true digital supply chain driving measurable improvements in supply chain performance agility and decision-making.

Summary of Area of Responsibility

The Manager Global Supply Chain Digital & Advanced Analytics CoE is responsible for developing and executing the operational global supply chain analytics strategy. This role leads a team of data & analytics engineers to deliver scalable high-impact solutions that enable a digital supply chain. The role partners closely with the Digital Transformation organization Supply Chain CoE teams and business stakeholders to ensure cross-functional analytics alignment and adoption of state-of-the-art data & analytics capabilities.

Communication/ Contacts

Internal Reports to the Sr. Director Global Supply Chain Center of Excellence

Key stakeholders: Supply Chain CoE leaders Digital Transformation Operations Procurement Commercial Excellence IT Finance and Business Unit Supply Chain teams

External Technology vendors analytics partners and external consultants as needed

Essential Role Functions:

• Strategy:
  • Define and execute the strategic roadmap for operational supply chain analytics and digital enablement
  • Lead the development and deployment of advanced analytics AI/ML and digital tools to support planning logistics inventory and customer service
  • Collaborate with the Data Intelligence & Technology organization to align on data architecture platforms and governance
  • Champion the use of certified data and a single source of truth across supply chain functions
• Analytics & AI Enablement
  • Lead the design and implementation of predictive and prescriptive analytics models for supply chain use cases
  • Drive adoption of AI solutions digital twins scenario modeling and simulation tools to improve quality and speed of decision-making
  • Partner with CoE teams to embed AI and analytics into standard processes and continuous improvement initiatives

• Data Governance & Performance Measurement
  • Define and maintain the hierarchy of supply chain performance metrics and KPIs
  • Ensure alignment with enterprise data governance standards and collaborate with the Data Intelligence team
  • Own the development and maintenance of global supply chain dashboards control towers and reporting tools
  • Leverage AI and process mining for root cause analysis through data-driven insights
• Team Leadership & Capability Building
  • Lead and develop a high-performing team of data & analytics engineers
  • Foster a culture of innovation continuous learning and operational excellence
  • Provide coaching mentoring and career development for team members
  • Collaborate with the Governance & CI lead to build results-focused analytics capability across the broader supply chain organization
  • Provide guidance for selection and recruitment of Data & Analytics Subject Matter Experts (SME)

Skills Qualifications Experience other Requirements:

• • Bachelors degree in Supply Chain Engineering Data Science or related field
  • 10 years of experience in supply chain analytics or digital transformation roles
  • 5 years of people leadership experience
  • Proven track record of deploying analytics and digital tools in a global supply chain environment
  • Strong knowledge of supply chain processes (planning logistics customer service etc.)
  • Experience with data visualization predictive modeling and AI/ML tools
  • Excellent stakeholder management and communication skills
  • Process oriented with a passion for excellence; demonstrated willingness to challenge status quo and drive continuous improvement
  • Promote Lubrizols Cultural beliefs
  • Demonstrate balanced approach to business operations cost and service
  • Fluent in English

Considered a plus:

• • Advanced degree (e.g. MBA MS in Analytics/Data Science)
  • APICS/ASCM certifications (e.g. CPIM CSCP)
  • Experience with cloud-based analytics platforms and digital twin technologies
  • Additional language skills (e.g. Spanish French Mandarin)

Success Competencies

• • Strategic thinking and business acumen
  • Ability to lead cross-functional and cross-cultural teams
  • Strong analytical and problem-solving skills
  • Effective communication and influence across technical and non-technical audiences
  • Passion for innovation and continuous improvement

Domestic Relocation Available: No

Primary Location: Pune India

Time allocation: Full time