CareSource
CareSource

Director, Model Engineering & Operations

Remote in Dayton, OH, US • Posted 15 hours ago • Updated 2 hours ago
Full Time
On-site
USD $135,600.00 - 237,400.00 per year
Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Job Details

Skills

  • Strategy Development
  • Advanced Analytics
  • Innovation
  • Utilization Management
  • Fraud
  • Use Cases
  • Real-time
  • Streaming
  • Generative Artificial Intelligence (AI)
  • Analytics
  • Design Patterns
  • Data Governance
  • Access Control
  • Unity
  • Auditing
  • Optimization
  • Build Vs Buy
  • Collaboration
  • Business Intelligence
  • Data Engineering
  • Data Modeling
  • Finance
  • IT Strategy
  • Computer Science
  • Data Science
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • HIPAA
  • Health Care
  • HEDIS
  • HL7
  • Cisco Certifications
  • IaaS
  • Microsoft Azure
  • Databricks
  • Apache Spark
  • Python
  • SQL
  • Machine Learning (ML)
  • Unsupervised Learning
  • Prompt Engineering
  • Evaluation
  • Communication
  • Artificial Intelligence
  • Documentation
  • Regulatory Compliance
  • Leadership
  • Outsourcing
  • Staff Augmentation
  • Testing
  • Management
  • System Integration Testing
  • Training
  • Partnership
  • Brand

Summary

Job Summary:

The Director, Model Engineering & Operations is responsible for leading the strategy, development, implementation, and optimization of enterprise AI and machine learning solutions that support core health plan operations and business objectives. This role provides leadership for the design and delivery of scalable, secure, and compliant AI/ML platforms and production systems, while overseeing the end-to-end machine learning lifecycle. The Director leads a team of machine learning engineers and applied scientists and collaborates across business and technology functions to translate advanced analytics and artificial intelligence capabilities into reliable, cost-effective, and operationalized solutions that drive organizational performance and innovation.

Essential Functions:
  • Lead the design, development, and productionization of ML and AI models across risk adjustment (HCC/RAF), HEDIS/Stars quality measures, care management, utilization management, fraud/waste/abuse, and member/provider experience use cases.
  • Own the end-to-end MLOps lifecycle on Databricks: feature engineering and feature store design, model training and versioning (MLflow), CI/CD for ML pipelines, deployment patterns (batch, real-time, and streaming inference), and automated retraining.
  • Establish and enforce model monitoring practices - drift detection, performance degradation alerts, bias/fairness checks, and champion-challenger frameworks - to ensure production models remain accurate and compliant over time.
  • Guide the evaluation and responsible adoption of generative AI and LLM-based capabilities (e.g., Mosaic AI, Genie, retrieval-augmented generation) for internal analytics, member/provider-facing tools, and operational automation.
  • Define engineering standards, design patterns, and reusable components (feature libraries, model templates, deployment scaffolding) to accelerate delivery across the data science and ML engineering teams.
  • Partner with data governance and security teams to ensure all ML/AI systems comply with HIPAA, CMS, and NCQA requirements, including PHI handling, access controls, and audit trails within Unity Catalog.
  • Manage model risk documentation and validation processes suitable for regulatory review (e.g., RADV audits, Stars/HEDIS submissions) in partnership with compliance and quality teams.
  • Own the cost, performance, and reliability of the ML platform footprint on Databricks, including compute optimization, cluster/job design, and vendor/tooling evaluation (e.g., build vs. buy decisions for platform capabilities).
  • Collaborate with BI, data engineering, and data science teams to ensure ML features and pipelines align with the broader canonical data model and lakehouse architecture.
  • Translate business problems from clinical, quality, finance, and operations stakeholders into well-scoped ML engineering initiatives with clear success metrics and delivery timelines.
  • Communicate technical strategy, risk, and progress to senior leadership and non-technical stakeholders in clear, business-relevant terms.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field required
  • Master's degree in Computer Science, Data Science, Engineering preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Eight (8) years in software/ML engineering required
  • Five (5) years of leadership experience required
  • Experience productionizing ML models at scale, including MLOps practices (CI/CD, model versioning, monitoring, retraining pipelines) required
  • Experience operating within regulated, PHI-governed environments; working knowledge of HIPAA and healthcare data standards required
Competencies, Knowledge and Skills:
  • Familiarity in a health plan, payer, or healthcare provider environment, with exposure to HEDIS/Stars, HCC risk adjustment, claims (837/835), and clinical data standards (HL7, FHIR, CCDA)
  • Knowledgeable in cloud infrastructure (Azure preferred, given Databricks-on-Azure deployment) and Infrastructure-as-Code practices
  • Hands-on proficiency with Databricks (or comparable lakehouse platform), Delta Lake, MLflow, and Spark; strong Python and SQL skills
  • Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering) and modern AI/LLM concepts (RAG, embeddings, prompt engineering, model evaluation for generative systems)
  • Ability to evaluate or implement knowledge graph, entity resolution, or Member 360-style initiatives
  • Strong communication skills with the ability to influence both technical teams and executive stakeholders
  • Ability to present model risk or AI governance documentation to regulators, auditors, or compliance committees
  • Strong service orientation and consulting skills
  • Ability to work collaboratively with all levels of management
  • Ability to juggle multiple complex priorities within a changing environment
  • Strong leadership and management skills with the ability to motivate in a team-orientated, collaborative environment
  • Strong knowledge of outsourcing and staff augmentation strategies supporting testing processes
  • Knowledge of the managed care industry is preferred
  • Exceptionally self-motivated and directed
Licensure and Certification:
  • None
Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Ability to travel as required by the needs of the business.

Compensation Range:
$135,600.00 - $237,400.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):
Salary

Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-SW2

Brand=CareSource
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX11f1ed
  • Position Id: 6e1206e86a9c4618718e90713496a50b
  • Posted 15 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Sr. Director | Engineering, ML

Remote

•

Today

Full-time

Senior Decision Intelligence Engineer (NBA)

Remote or Kentucky

•

Today

Full-time

USD 106,900.00 - 147,000.00 per year

Generative AI Scientist - (Model Risk & Validation)

Remote

•

Today

Full-time

USD 110,000.00 - 130,000.00 per year

Machine Learning Engineer

Remote

•

Today

Full-time

USD 155,520.00 - 194,400.00 per year

Search all similar jobs
Remote jobs at CareSource