AI Enablement Engineer

Cencora • Conshohocken, PA

3d

About The Position

This is best understood as an enterprise AI measurement, insights, and enablement role—not a model-building role. The core mandate is to empower Cencora’s employees to use AI responsibly, profitably, and well, and measure the value that AI adds to Cencora. While this role include various tasks related to AI enablement, such as community-building, supporting responsible use, and participating in technology rollout efforts, a particular focus is to measure how AI adoption is impacting Cencora and translate results into decision-ready insight for leaders. The role blends measurement strategy, cross-functional advisory work, and hands-on analytics execution. Success depends on linking AI adoption and usage data to real business outcomes such as productivity, quality, cost reduction, risk reduction, proficiency, and change adoption rather than stopping at activity metrics alone.

Requirements

• Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, information systems, or a related field, or equivalent experience required.
• Less than 2 years of experience in artificial intelligence, machine learning, data science, analytics, software development, or a related field, or equivalent experience required.
• Prior experience working with large data sets within an enterprise.
• Prior experience and knowledge with AI Readiness, Enablement, AI Adoption, Engagement and Value.
• Excellent written & verbal communication skills.
• Exceptional organizational skillsets.

Nice To Haves

• Experience with Databricks – highly desired.
• Preferred experience in regulated or risk-aware environments suggests strong relevance for privacy-safe reporting, responsible use metrics, and collaboration with governance stakeholders.

Responsibilities

• Assist with AI enablement programs including the maturation of enterprise AI measurement framework covering: adoption, engagement, proficiency, responsible use, value realization, ROI across multiple AI tools and platforms.
• AI measurement framework design: help define structured, reusable ways to measure AI adoption and value across the enterprise, including standard metric definitions and value hypotheses.
• Hands-on analytics and dashboarding: direct work with data, dashboard tools, KPI logic, reports, and visual storytelling.
• Executive communication and data storytelling: turning complex metrics into clear narratives for senior leaders, while also being able to explain methods to practitioners and technical teams.
• Cross-functional influence: drive alignment across business units, IT, governance, privacy, HR, and engineering without formal authority.
• Business-value and ROI thinking: distinguish between usage metrics and business outcomes, and explain when value is direct, estimated, or better represented through proxies.
• Change/adoption measurement: measuring proficiency, behavior change, and digital transformation outcomes.
• Governance- and privacy-aware judgment: privacy-safe reporting, responsible use metrics, and collaboration with governance stakeholders.
• Define common KPI standards so business units are not measuring AI success inconsistently.
• Build dashboards, scorecards, and reporting that show what is being adopted, where usage is growing or lagging, and whether AI is creating business value.
• Analyze trends and gaps to recommend actions for enablement, governance, and investment decisions.
• Partner across matrixed stakeholders to define meaningful success measures for specific AI initiatives.
• Develop ROI/value methods that connect AI to measurable business outcomes such as time saved, throughput, quality gains, reduced errors, avoided risk, or cost savings.
• Maintain an enterprise view across multiple tools and use cases, not just isolated reporting for one platform.

Benefits

• medical
• dental
• vision care
• comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness
• support for working families
• backup dependent care
• adoption assistance
• infertility coverage
• family building support
• behavioral health solutions
• paid parental leave
• paid caregiver leave
• variety of training programs
• professional development resources
• opportunities to participate in mentorship programs
• employee resource groups
• volunteer activities

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level