Associate Manager - Data Engineering

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

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. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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