Associate Manager , Data Engineering
At a glance
Manager-level Data Engineering role at Cardinalhealth. IND07 · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Coordinate delivery across data engineering, analytics and ML/AI, setting commitments and sequencing while keeping progress visible
- Plan sprints and manage the backlog, matching team capacity to available hours
- Facilitate agile routines and maintain Jira workflows, boards, fields, JQL and dashboards yourself
- Share monthly results on throughput, cycle time, quality, capacity and effort allocation with stakeholders
- Lead engineers’ performance, development and retention, while serving as the first escalation point for delivery issues
What you bring
- At least ten years delivering data engineering or analytics work, including ten years directly managing engineers
- Hands-on Jira configuration skills, including workflows, custom fields, JQL, boards and dashboards
- Practical experience with sprint planning, capacity management and flow measures
- Working SQL, cloud warehouse and pipeline knowledge to assess estimates and review designs
- A record of presenting delivery results to senior stakeholders
Who this fits
This role suits an experienced delivery manager who can lead engineers while staying hands-on with Jira and technically engaged in data work. The position includes direct people management and covers data engineering, analytics and ML/AI delivery.
From the employer
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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