Principal, Analytics Transformation – AI Enablement

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Cencora

10,000+ employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Cencora is a company dedicated to improving the health and well-being of both people and animals globally. Built on the legacy of AmerisourceBergen, Cencora offers a wide range of industry-leading solutions that encompass specialty logistics, warehousing, drug research, clinical development support, and more. They provide commercialization and patient access support and offer wholesale and specialty distribution services. Cencora serves a diverse clientele, including pharmaceutical companies, physician practices, pharmacies, and health systems. The company also extends its services to animal health, managing operations and delivering products for animal pharmaceutical care. With a strong global footprint, Cencora aims to reshape healthcare delivery through innovative products and solutions, striving to create healthier futures for all.

📋 Description

• Act as a transformation catalyst for the Analytics organization, connecting strategy, innovation, people, process, and technology to accelerate business outcomes • Drive the organization's AI and Agentification agenda by identifying, prioritizing, and scaling new ways of working • Serve as a trusted advisor to Analytics leadership on organizational strategy, operating models, communications, and execution priorities • Build collaboration across the analytics organization so teams operate as a unified enterprise capability • Drive adoption of change at scale and establish sustainable operating mechanisms • Guide analytics strategy, multi-year roadmaps, and investment priorities across data platforms, tooling, and products • Coordinate delivery of high-impact initiatives from problem framing through productionization and lifecycle management • Communicate stakeholder alignment on tradeoffs, implications, and decisions across business and technology groups • Build communities of practice, code and pattern libraries, and coaching mechanisms to scale capability across teams

🎯 Requirements

• Bachelor’s degree in data science, computer science, statistics, applied mathematics, information systems, engineering, or a related field, or equivalent experience required • 8+ years experience in data analytics or data engineering, including leadership of multi-team initiatives delivering analytics platforms, models, and products, or a related field required • Proven experience leading data and analytics strategy • Extensive experience working within a large enterprise environment • Strong organizational, budgeting, and leadership skills • Ability to influence stakeholders and create workflows using technologies • Prior experience building communities of practice, code and pattern libraries, and coaching mechanisms to scale capability across teams • Ability to travel up to 20% as needed • Program Management experience highly desired • Master’s degree in a related field preferred • PMP, CAP, CDMP, or cloud professional-level certification preferred

🏖️ Benefits

• Medical, dental, and vision care • Backup dependent care • Adoption assistance • Infertility coverage • Family building support • Behavioral health solutions • Paid parental leave • Paid caregiver leave • Training programs • Professional development resources • Mentorship programs • Employee resource groups • Volunteer activities

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