Manager Data Engineering AI

• Bachelor’s degree or equivalent work experience
• 7+ years of total data engineering/IT/Project Management experience out of which at least 2 years must be management experience.
• 2+ years’ experience leading small to mid-size projects through application of Project Management methodologies and artifacts.
• 4+ years’ experience with data sets, Hadoop, Spark and/or other data integration/ETL tools like databricks, AWS tech stack, snowflake etc
• 2+ years of experience working on AI engineering concepts and tools like RAG, Prompt Engineering, Langchain, LangGraph etc
• Familiarity with ML Ops and LLM Ops capabilities and tools like Datarobot
• 2+ years of hands-on experience in software development and database management.
• Proficiency in Microsoft Office Suite.
• Experience with healthcare data preferably in a data operations role.
• Experience working in an Agile environment.
• Ability to communicate simple and complex messages to the team in a manner that is clear, persuasive, and sincere.
• Ability to summarize complex and/or technical information into easy-to-understand pieces, distinguishing message delivery from analysis.
• Ability to apply organizational, industry knowledge to facilitate process improvement that optimizes functional area to positively impact strategic initiatives of the department and organization.
• Ability to win trust and confidence of team members even when dealing with unpopular decisions.
• Ability to lead and motivate team through day to day as well as during unclear or challenging conditions.
• Ability to provide big picture vision, align goals with larger department and organizational ones.
• Ability to develop well rounded skill sets regarding business, technical and interpersonal skills.
• Ability to adjust quickly to changing assignments, processes and people while identifying opportunities to further growth and development of self and processes.
• Ability to proactively manage and resolve conflict, help team find a ‘win-win’ solution.
• Ability to break down silos that impact cooperations and partnership.
• Ability to value team members as individuals while embraces differences.
• Ability to deploy variety of techniques to establish rapport, gain commitment from and adapt to the decision-making styles of executives, department leaders and outside groups.
• Ability to accomplish goals by setting appropriate objectives and planning effectively while monitoring plans and adjusting as needed to keep plans realistic and focused.
• Ability to prioritize tasks against business prioritize, effectively manage time against priorities to accomplish them and allocate resources affectively to meet deadlines.
• Ability to make sound situational decisions even in absence of precedent or experience.
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Pay Transparency:

Base compensation ranges from $145,000.00 to $175,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 9/21/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/21/2026 but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

Originally posted on Himalayas