Manager, Data Engineering

Medical Mutual•Cleveland, OH
•Hybrid

About The Position

The Manager, Data Engineering will lead a team of Data Engineers and Business Systems Analysts responsible for standardizing, managing, and delivering enterprise data that supports Risk Adjustment, HEDIS, broker operations, and other key business functions. This hands-on leadership role oversees data intake, data delivery, stakeholder partnerships, data quality, modernization initiatives, and emerging AI capabilities while ensuring critical business and regulatory data needs are met. Responsible for conceptualizing and implementing a corporate-wide program that helps Medical Mutual of Ohio speed the development of insight from high quality, timely, and well-structured and governed data sources. Responsible for creating and designing innovative architectural solutions to scale our ability to learn from and use data to achieve business outcomes.

Requirements

  • Bachelor's Degree required in Computer Science, Software development or related field or equivalent years of experience.
  • Knowledge of database systems, and warehousing technologies

Nice To Haves

  • As this is an entry level management position, prior management experience is not required.

Responsibilities

  • Lead a team of software developers and data modelers to Design and Deliver functional data warehouse models for assigned areas.
  • Create a robust, highly automated multi-layer warehouse that can be used by Data Scientists and Business Analysts at all levels of the organization.
  • Support the use of data to achieve business outcomes, supporting federated partner teams and directly developing data pipelines or extracts to solve business problems with data.
  • Ensure the warehouse is continuously improved to add capability and improve speed-to-insight.
  • Develop AI agents built on top of the data warehouse that help business leaders and users answer questions, improve insights, and perform action.
  • Develop visible data quality measures to ensure high data quality.
  • Act as the technical subject matter expert.
  • Translate functional requests into a robust and flexible data model.
  • Contribute to planning, road mapping, and quality ownership for assigned subject areas.
  • Lead data-related communication for assigned subject areas.
  • Advise and mentor team members to maximize effectiveness of the team.
  • Collaborate with members of partner teams to design flexible solutions.
  • Collaborate with members of Compliance, Legal and IT security to ensure solutions meet appropriate regulatory requirements.
  • Cultivates strong business relationships with business stakeholders.
  • Coordinate efforts within own team/ immediate team members.
  • Support the Director of Data Engineering in meeting their goals by providing technical leadership and strong delivery capabilities, while acting as a partner of strategic matters related to the data ecosystem.
  • Perform other duties as required.

Benefits

  • Laptop, monitors, keyboard, mouse and headset provided.
  • Access to on-site fitness centers or gym membership reimbursement.
  • On-site cafeteria at headquarters.
  • Discounts at local businesses.
  • Opportunity to earn cash rewards for shopping with customers.
  • Business casual attire, including jeans.
  • Employee bonus program.
  • 401(k) with company match up to 4% and an additional company contribution.
  • Health Savings Account with a company matching contribution.
  • Medical, dental, vision, life and disability insurance.
  • Employee Assistance Program.
  • Company holidays.
  • Up to 16 PTO days during the first year of employment with options to carry over unused PTO time.
  • Parental leave for eligible employees who become parents through maternity, paternity or adoption (after 120 days of service).
  • Career development programs and classes.
  • Mentoring and coaching.
  • Tuition reimbursement up to $5,250 per year.
  • Diverse, inclusive and welcoming culture with Business Resource Groups.
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