AI Enablement Engineer

Mwiah; Philadelphia, Northern (Philadelphia County, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Cencora is seeking an AI Enablement Engineer to help scale enterprise AI measurement, enablement, and governance. The role focuses on translating AI adoption into decision-ready insights for senior leaders and practitioners alike.

You will work across governance, privacy, HR, and engineering to design metrics, dashboards, and ROI methodologies that demonstrate real business value from AI initiatives.

Qualifications

• Bachelor’s degree in CS, data science, statistics, engineering or related field.
• Less than 2 years in AI/ML, data analytics, or related field.
• Experience with enterprise-scale data sets.
• Experience with AI readiness, enablement, adoption, engagement, and value.

Responsibilities

• Define KPI standards to measure AI success consistently across units.
• Build dashboards, scorecards, and reports showing adoption, usage and business value.
• Analyze trends and gaps to recommend enablement, governance, and investment actions.
• Collaborate with matrixed stakeholders to define meaningful success measures for AI initiatives.
• Develop ROI/value methods linking AI to measurable outcomes such as time savings and cost reductions.

Skills

Data analytics

KPI design

Dashboard design

SQL

Databricks

Python

Communication

Education

Bachelor’s degree in CS/Data Science/Engineering

Tools

Power BI

Databricks

SQL

Python

Job description

## AI Enablement EngineerPostuler: Remote, Philadelphia: USA > PA > Conshohocken > West First: Temps Plein: Publié aujourd'hui: Date de fin : 3 octobre 2026 (Il reste 15 jours pour postuler): R266644Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!# **Job Details****Summary:**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. **Responsibilities:**The role’s central responsibility is to 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** The role expects someone who can 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** This is not just a consulting role. It -requires direct work with data, dashboard tools, KPI logic, reports, and visual storytelling.*Executive communication and data storytelling** A major requirement is turning complex metrics into clear narratives for senior leaders, while also being able to explain methods to practitioners and technical teams.*Cross-functional influence** The person will likely need to drive alignment across business units, IT, governance, privacy, HR, and engineering without formal authority.*Business-value and ROI thinking** A candidate must be able to distinguish between usage metrics and business outcomes, and explain when value is direct, estimated, or better represented through proxies*Change/adoption measurement** Because the role sits within AI readiness and enablement, it values experience measuring proficiency, behavior change, and digital transformation outcomes*Governance- and privacy-aware judgment** Preferred experience in regulated or risk-aware environments suggests strong relevance for privacy-safe reporting, responsible use metrics, and collaboration with governance stakeholders.*Tools and methods:*The role is likely to use a practical analytics stack rather than advanced model development tools. Based on the responsibilities, likely tools/methods include:* BI/dashboard tools such as Power BI or Databricks AI/BI* Data warehousing tools including Databricks* SQL and spreadsheet-based analysis* Possibly Python or R for deeper analysis* Cross-platform telemetry / usage logs* Reporting feeds from AI tools, enablement systems, and business outcome systems**Qualifications**:* 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* Experience with Databricks – highly desired* Excellent written & verbal communication skills* Exceptional organizational skillsets.* Ability to support the following:* **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.# ******What Cencora offers******We 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/cencoraTemps Plein