Job Details Summary:
The Principal, Analytics Transformation & AI Enablement serves as a strategic extension of the SVP, Head of Analytics, driving transformation, AI enablement, organizational effectiveness, and cross-functional execution across Cencora's Analytics organization. Success requires exceptional influence, executive communication, and the ability to lead change across teams without direct authority
Key Responsibilities:- 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 that increase productivity, quality, and business impact.
- Serve as a trusted advisor to Analytics leadership, helping shape organizational strategy, operating models, communications, and execution priorities.
- Build the connective tissue across a diverse analytics organization, ensuring teams operate as a unified enterprise capability rather than independent functional groups.
- Translate vision into action by driving adoption of change at scale, establishing sustainable operating mechanisms, and ensuring strategic initiatives achieve measurable results.
- Guides analytics strategy, multi-year roadmaps, and investment priorities across data platforms, tooling, and products.
- Coordinates delivery of high-impact initiatives from problem framing through productionization and lifecycle management.
- Communicates stakeholder alignment on tradeoffs, implications, and decisions to secure adoption across business and technology groups.
- Builds communities of practice, code and pattern libraries, and coaching mechanisms to scale capability across teams.
Qualifications:
- Bachelor's degree in data science, computer science, statistics, applied mathematics, information systems, engineering, or a related field, or equivalent experience required.
- Master's degree in data science, computer science, statistics, applied mathematics, information systems, engineering, or a related field, or equivalent experience preferred.
- 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 in leading data & analytics strategy,
- Extensive background working within a large enterprise environment
- Program Management experience - highly desired
- Strong organizational, budgeting, leadership skillsets
- Ability to influence, communication skills, organization skills, create workflow using technologies
- Prior experience building communities of practice, code and pattern libraries, and coaching mechanisms to scale capability across teams
- PMP Certification, Certification in Analytics Professional (CAP), DAMA Certified Data Management Professional (CDMP), and cloud professional-level certifications (AWS, Azure, or Google Cloud), or equivalent certification preferred.
- Ability to travel up to 20% as needed
What Cencora offersWe provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora
Full time
Salary Range*$110,500 - 220,990
*This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington/New York/Hawaii/Vermont/Minnesota/Massachusetts/Illinois State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range.
