Your Future is our Future

At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.

Position:

Manager, Quality Engineering - Health Tech AI

Position Summary:

Oversees the data operations function within the organization. Guides a team responsible for ensuring the efficient flow, integration, and quality of data across various systems. Establishes and maintains data operations processes, creating continuous improvement initiatives, and collaborating with cross-functional teams to support data-based initiatives. Meaningfully contributes to data operations projects, ensuring compliance with data governance standards, and helping to provide strategic guidance for the success of data operations.

Job Description:

Primary Responsibilities

• Manages the activities of and coaches, mentors, motivates, supports, and develops a team of individual contributors and/or supervisors. Manages and/or supports performance management/corrective action plans, goal setting/review, regular guidance and 1-1 check ins, career development/planning, upskilling, resource allocation, staffing, DE&I initiatives, and other People & Culture programs/activities as needed.  Fosters accountability and collaboration to ensure team member and overall team success.
• Oversees the day-to-day operations of data processing systems, ensuring data integrity, reliability, and accuracy.
• Establishes and maintains data operations processes, workflows, and best practices to optimize data integration, transformation, and delivery.
• Collaborates with cross-functional teams to understand data requirements, establish priorities, and align data operations with organizational goals.
• Monitors and reviews data operations performance metrics, generate reports, and present findings to senior leadership, highlighting areas for improvement and implementing actionable insights.
• Impacts continuous improvement initiatives, optimizing data operations workflows, automating repetitive tasks, and implementing industry-leading practices to enhance operational efficiency and data integrity.
• Ensures compliance with data governance principles, regulatory requirements, and data security best practices.
• Collaborates with partners to understand their data needs, provide guidance on data-related processes, and support data-related initiatives.
• Owns and guides data operations projects, including resource allocation, project planning, and execution, to ensure timely and successful project delivery.
• Stays up-to-date on emerging technologies, tools, and trends in data operations, evaluating their potential impact and making recommendations for adoption or improvement.
• Collaborates with vendors and external partners to manage relationships, evaluate service level agreements, and ensure effective delivery of data operations services.

Qualifications

• Bachelor's Degree in related field (Computer Science, Information Systems, etc.) or equivalent
• 6+ years  of relevant data engineering/operations experience or the knowledge, skills, and abilities to succeed in the role
• 1+ year of leadership experience or the knowledge, skills, and abilities to succeed in the role
• Strong understanding of data processing concepts, data integration, data quality management, and ETL (Extract, Transform, Load) processes
• Proficiency in programming languages such as Python, Java, or Scala
• Firm understanding of and experience with data processing frameworks and tools, such as Apache Spark, Hadoop, or Airflow
• Thorough knowledge of database systems and proven SQL proficiency
• Experience with cloud-based data platforms, such as AWS or Azure
• Ability to guide, coach, develop, motivate and inspire a team, foster collaboration, and impact results
• Excellent communication and interpersonal skills, with the ability to effectively engage at all levels internally and externally
• Ability to impact or support implementing process improvements and automatization initiatives to optimize data operations workflows

Preferred

• Knowledge of data governance principles and best practices

Working Conditions

• While performing the duties of this job, the employee works in normal office working conditions.

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