Sr. Manager, Logistics Data & Analytics Lead

Role Summary

The Data and Analytics Solutions team at PGS Creation Center within Pfizer Global Supply develops and manages data and analytics tools across PGS value streams to enable a data-driven culture using AI-ready data and governance. The Senior Manager, Logistics Data & Analytics acts as a trusted partner to Global Logistics, owning complex data and analytics capabilities that enable operational excellence and informed decision-making. The role balances advanced functional leadership, people management, and delivery of senior-leader objectives with impact across Global Logistics and PGS Digital.

Responsibilities

• Own and evolve Global Logistics data architecture and analytics capabilities, applying advanced functional expertise to solve ongoing, complex operational challenges.
• Serve as a subject-matter leader for enterprise data models supporting shipments, sustainability, freight accruals, and logistics KPIs.
• Translate objectives from senior leadership into clear team goals, milestones, and delivery outcomes.
• Lead delivery of complex analytics initiatives (e.g., carrier performance, routing adherence, lead times, temperature excursions) with accountability for accuracy, consistency, and adoption.
• Define and govern business rules, KPI logic, and master data alignment to ensure repeatable, enterprise-grade analytics outputs.
• Apply Snowflake and Tableau proficiency to guide data-driven decisions; influence solution design rather than acting as an individual contributor.
• Act as a trusted partner to Logistics, Digital, and platform teams, independently leading complex meetings and driving alignment across matrixed stakeholders.
• Lead cross-functional initiatives involving internal teams and external vendors, managing priorities, dependencies, and trade-offs.
• Develop solutions to high-complexity problems by interpreting PGS strategies and establishing actionable priorities that improve logistics performance.
• Identify and apply emerging analytics and AI capabilities where they deliver clear operational value, exercising sound judgment and risk awareness.
• Directly lead and develop skilled technical and analytical professionals, fostering accountability, engagement, and continuous capability growth.
• Coach, mentor, and support succession planning in line with Pfizer’s Collective Talent Management approach.
• Measure success through both individual performance and team outcomes, consistent with Senior Manager expectations.

Qualifications

• Required: 6+ years driving high-impact initiatives across supply chain, logistics, analytics, engineering, and product management in complex, global organizations.
• Required: exceptional knowledge of supply chain processes and applying these skills to ensure a Global Logistics organization meets its goals.
• Required: ability to innovate, exceptional leadership, strategic thinking, and executive communication skills.
• Required: strong business acumen and ability to influence in a global, matrixed organization.
• Required: 2–3 years of hands-on product management experience, shaping product vision and translating business priorities into scalable, data-driven solutions.
• Required: 2+ years of cloud-based software development experience (AWS preferred), with the technical depth to guide architecture and the strategic clarity to influence product direction.
• Required: strong track record steering cross-functional teams, aligning stakeholders, and delivering measurable business outcomes without relying on direct authority.
• Required: adept at simplifying complex problems, structuring roadmaps, defining success criteria, and ensuring disciplined execution from concept to adoption.
• Required: recognized for building high-trust, collaborative teams—coaching talent, sharing ownership, and elevating performance across diverse skill sets.
• Required: deep experience converting business vision into platform and product strategy, providing both functional and technical leadership.
• Required: advanced expertise in data architecture, analytics delivery, KPI frameworks, and data governance.
• Required: practical experience with Snowflake, Tableau, modern data pipelines, and responsible AI/ML practices in regulated environments.
• Required: skilled in working with structured and unstructured data, rapidly adapting to new technologies and challenges, and delivering outcomes with autonomy and creativity.
• Required: exceptional written and verbal communication skills, able to influence at all levels of the organization.
• Preferred: advanced degree in Computer Engineering, Computer Science, Information Systems, or a related field.
• Preferred: hands-on Agile experience with modern delivery methodologies and cross-disciplinary team environments.
• Preferred: working knowledge of ML-powered and LLM-based products, including experience with agentic AI approaches.
• Preferred: experience designing automated, reusable analytic workflows and model pipelines for enterprise use.
• Preferred: strong capability in building data and analytic products that resonate with both technical and non-technical users.
• Preferred: pharma and life sciences commercial domain knowledge and data literacy.
• Preferred: experience with agentic AI platforms such as Azure AI Foundry.

Education

• Bachelor’s (Master’s preferred) degree in Computer Science, Data Science, Information Systems, or related field.