Associate Manager , Data Engineering

Cardinal Health

Bengaluru

On-site

INR 3,500,000 - 5,500,000

Full time

5 days ago
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Job summary

Cardinal Health in Bengaluru, India is seeking a Senior Delivery Manager to lead end-to-end delivery across data engineering, analytics, and ML/AI. You will own delivery predictability, capacity planning, and reporting to stakeholders, while line-managing a team of 15–20 engineers.

The role requires extensive experience in data delivery, hands-on Jira, and strong stakeholder communication. Cardinal Health promotes an inclusive workplace and Equal Opportunity employment.

Qualifications

  • 10+ years in data engineering or analytics delivery, including 10+ managing engineers directly.
  • Hands-on Jira: workflows, custom fields, JQL, board and dashboard configuration.
  • Practical agile delivery — sprint mechanics, capacity planning, flow metrics.
  • Working knowledge of SQL, cloud data warehousing (BigQuery preferred) and pipeline development.
  • Track record presenting delivery performance to senior stakeholders.

Responsibilities

  • Delivery across data engineering, analytics and ML streams with clear commitments.
  • Backlog management and sprint planning with capacity tracking.
  • Agile facilitation: sprint cadence, board hygiene, flow discipline.
  • Jira configuration and dashboards; build reporting.
  • Monthly performance reporting: throughput, cycle time, quality, capacity, effort mix.
  • Line management for 15–20 engineers.
  • Primary escalation point for delivery issues with stakeholders.

Skills

Data engineering delivery
Engineering leadership
Jira administration
Agile delivery
SQL & cloud warehousing
Stakeholder reporting

Tools

Jira
BigQuery

Job description

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. Cardinal Health is an Equal Opportunity/Affirmative Action 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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