AI Enablement Engineer

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Job Details

Summary:

This is best understood as anenterprise AI measurement, insights, and enablement role-not a model-building role. The core mandate is toempowerCencora'semployees to use AI responsibly, profitably, and well,andmeasurethe value that AI adds toCencora. Whilethis role includevarious tasks related toAI enablement,such as community-building, supportingresponsible use,and participating in technology rollout efforts,a particular focus is tomeasure how AI adoption is impacting Cencora andtranslate results into decision-ready insight for leaders. The role blendsmeasurement strategy, cross-functional advisory work, and hands-on analytics execution. Success depends on linking AI adoption and usage data toreal businessoutcomes such as productivity, quality, cost reduction, risk reduction,proficiency, and change adoption rather thanstopping atactivity metrics alone.

Responsibilities:

The role's central responsibility is toassistwith AI enablement programs including thematuration ofenterprise AI measurement frameworkcovering:

• adoption

• engagement

• proficiency

• responsible use

• value realization

• ROI across multiple AI tools and platforms

AI measurement framework design

• The role expects someonewho canhelpdefine 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-requiresdirect 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 willlikely needto 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,itvalues experience measuringproficiency,behaviorchange, and digital transformation outcomes

Governance- and privacy-aware judgment

• Preferred experience in regulated or risk-aware environments suggests strong relevance for privacy-safe reporting, responsibleusemetrics, and collaboration with governance stakeholders.

Toolsand methods:

The roleis likely to usea practical analytics stack rather than advanced model development tools. Based on the responsibilities, likely tools/methods include:

• BI/dashboard toolssuch as Power BI orDatabricks AI/BI

• Data warehousing tools including Databricks

• SQL and spreadsheet-based analysis

• PossiblyPython or Rfor 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 experiencerequired.

• Less than 2 years of experience in artificial intelligence, machine learning, data science, analytics, software development, or a related field, or equivalent experiencerequired.

• 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 KPIstandards so business units are not measuring AI success inconsistently.

• Build dashboards, scorecards, andreporting 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.

• Partneracross 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

Full time Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call View phone number on click.appcast.io or email View email address on click.appcast.io. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

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