Manager, Cloud Data Engineering

BCBSMRiver Park, FL
4dHybrid

About The Position

At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us. The Impact You Will Have The primary function of this position is to provide leadership, facilitation, analysis, design and execution in a cloud database architecture. Your primary focus will be on team management, work planning, and ensuring stakeholder needs are met. Expectations are to address business requirements, selecting the right cloud solutions that provides scalability, security, performance and reliability. Will work closely with the cloud engineering, architecture, software engineering, analytics and product teams to design database applications, operational models and solutions including interfaces, data transfer mechanisms and partitions, optimizations to enable efficient access, and automated operations on cloud native databases.

Requirements

  • 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • 2+ years in a management, team lead, or organizational leadership role.
  • Demonstrated success managing and developing technical teams to deliver complex projects.
  • Proven ability to translate business needs into team objectives and actionable plans.
  • Experience and knowledge of a modern data platform and cloud-based solutions.
  • Familiarity with AWS, Google, or Azure technologies.
  • Experience leading cloud database design, integration, data ingestion efforts.
  • Strong organizational, communication, and stakeholder management skills.
  • Experience facilitating sprint planning, backlog management, and team retrospectives.
  • Ability to lead initiatives and people toward common goals.
  • Excellent written and verbal communication, presentation, and analytical skills.
  • Ability to quickly learn new technologies, adapt to new environments, and function within a team.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.

Nice To Haves

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Healthcare Informatics, or related field.
  • Experience in healthcare data operations, claims processing, or regulatory compliance (CMS, HEDIS, EDI).
  • Project Management experience with agile and project management methodologies (Scrum and/or Kanban) a plus.
  • Technical literacy with data engineering tools and concepts (SQL, python, AI, cloud platforms like AWS or Azure, ETL/ELT processes, data pipelines).
  • Experience standardizing engineering practices across teams (coding standards, documentation, code review processes).

Responsibilities

  • Work collaboratively with all levels of business stakeholders to design, implement and test data solutions from disparate sources.
  • Serve as the primary point of contact between data engineering teams and product owners.
  • Demonstrate an understanding of concepts, best practices and functions to implement a modern data platform in an enterprise environment.
  • Translate business requirements into technical designs.
  • Ensure scalability and high availability, fault tolerance, and elasticity within data ecosystem.
  • Facilitate architectural alignment and direction across teams.
  • Understand data engineering concepts and tools well enough to comprehend what teams are building, ask informed questions, and identify potential risks or blockers.
  • Demonstrate thought leadership and interpersonal skills.
  • Passionate about leading, guiding and mentoring others.
  • Collaborate with business partners to drive adoption and optimization of the analytics platform.
  • Manage and develop data engineering teams, fostering a collaborative and innovative culture.
  • Defines data standards, policies and procedures for the organization.
  • Identify and deliver infrastructure and process improvements based on analytics, metrics and skills.
  • Champion automation mindset across the organization—both technical (CI/CD, infrastructure-as-code, automated testing, AI-assisted development tools) and process-based (standardizing and automating how data is sent, received, validated, and moved through systems to reduce manual effort and improve reliability).
  • Lead and mentor engineers and technical leads.
  • Perform design reviews of solutions to ensure the design aligns and supports the specified architecture.
  • Oversee sprint planning, backlog grooming, and resource allocation.
  • Facilitate regular reviews and retrospectives to improve processes and outcomes.
  • Track team performance and delivery timelines, using metrics to drive accountability.
  • Ability to establish and maintain a high level of trust, confidence and intellectual integrity with both Business and IT partners.
  • Lead by example, influence and shape outlook and attitudes to facilitate change from a tactical to a strategic oriented enterprise.

Benefits

  • Medical, dental, and vision insurance
  • Life insurance
  • 401k
  • Paid Time Off (PTO)
  • Volunteer Paid Time Off (VPTO)
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