Role

Own day-to-day delivery across data engineering, analytics and ML/AI. Accountable for delivery predictability, capacity planning and the reporting that goes to stakeholders. Line manager for the engineering team.

Responsibilities

Delivery across all three streams — commitments, sequencing, and a clear view of where work stands

Backlog management and sprint planning; capacity tracking against available hours

Agile facilitation: sprint cadence, board hygiene, flow discipline

Jira configuration and dashboards — workflows, fields, JQL, reporting built hands-on

Monthly performance reporting: throughput, cycle time, quality, capacity, effort mix

Line management for 15–20 engineers — performance, development, retention

Primary escalation point for delivery issues with stakeholders

Required

10+ years in data engineering or analytics delivery, including 10+ managing engineers directly

Hands-on Jira: workflows, custom fields, JQL, board and dashboard configuration. Able to build the reporting, not just request it

Practical agile delivery — sprint mechanics, capacity planning, flow metrics

Working knowledge of SQL, cloud data warehousing (BigQuery preferred) and pipeline development: enough to challenge an estimate and review a design

Track record presenting delivery performance to senior stakeholders

Preferred

Data Engineering & ML delivery exposure, from requirement through production and retraining

Jira Automation or advanced reporting configuration

Appetite to go deeper technically — the data and AI landscape here moves quickly

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day.

Associate Manager , Data Engineering

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