Agile Product Management – Data Engineering

The job profile for this position is Product Management Lead Analyst, which is a Band 3 Senior Contributor Career Track Role.

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Excited to grow your career?

We value our talented employees and strive to support their professional growth. If this opportunity aligns with your aspirations, we encourage you to apply!

Our people make all the difference in our success.

Role Summary:

As an Agile Product Manager within the Data Engineering team, you will serve as the internal voice of the customer and a key driver of our data platform strategy. You will define and prioritize features, manage the product backlog, and shape the vision and roadmap for our Agile Release Train (ART). Your work will directly influence how data is ingested, transformed, and delivered across the enterprise.

This role requires a strong understanding of data engineering principles, agile product management, and cross-functional collaboration. You will work autonomously on complex initiatives, mentor junior team members, and apply your expertise to drive impactful outcomes.

Key Responsibilities:

Product Strategy & Ownership

• Define the vision, roadmap, and success metrics for data engineering products and services.
• Own and manage the product backlog, including data platform features, technical debt, and non-functional requirements.
• Collaborate with business stakeholders, data architects, and engineering teams to translate business needs into scalable data solutions.

Agile Delivery

• Write clear, actionable user stories with acceptance criteria.
• Prioritize backlog items based on business value, technical feasibility, and delivery timelines.
• Lead backlog refinement, sprint planning, and release planning activities.

Data Product Expertise

• Understand and articulate the value of data pipelines, data lakes, data warehouses, and real-time streaming solutions.
• Maintain awareness of dependencies across data domains and proactively manage risks.
• Establish and maintain the technical product roadmap for data engineering initiatives.

Collaboration & Communication

• Build strong relationships with data consumers, engineering teams, and governance stakeholders.
• Act as the primary point of contact for escalations, impediment resolution, and cross-team coordination.
• Champion agile principles and foster a culture of continuous improvement.

Qualifications:

• 5+ years of experience in product management, data engineering, or a related field.
• Proven ability to manage complex data products and deliver value in an agile environment.
• Strong understanding of data architecture, ETL/ELT pipelines, APIs, and cloud data platforms (e.g. AWS).
• Experience with Agile tools (JIRA, Jira Align), collaboration platforms (Confluence, SharePoint), and BI/reporting tools (Qlik, Tableau).
• Excellent communication and stakeholder management skills.
• Ability to balance technical depth with business acumen.
• Experience with data governance, data quality, and metadata management is a plus.
• Healthcare or regulated industry experience is a bonus, but not required.

About Cigna Healthcare

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

Please note that you must meet our posting guidelines to be eligible for consideration.  Policy can be reviewed at this link.