Director Risk and Responsible AI

The Director AI - Risk & Responsible AI - will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health quality and outcomes. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. The opportunity includes to to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.

As Director AI - Risk & Responsible AI within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow risk reviews and documentation of models on our machine learning platform for production execution and monitoring.

Owns and plans risk/review process for AI solutions across the Enterprise.
• Designs risk and model validation plans with milestones and independent verification.
• Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
• Applies appropriate Responsible AI principles, documentation and monitoring process.
• Helps plan, manage and execute risk and control delivery of issues, vulnerabilities, control processes, for any Audits.
• Assess and drive efficiencies in existing risk framework for Machine Learning Development Lifecycle & MLOps to create a risk aware continuous compliance mind-set.
• Identify, implement, establish risk reduction governance to mitigate failed internal processes, inadequate risk identification and controls, and emerging risks.
• Plan and perform testing of new functionality and regression testing of technology/risk compliance related requirements.
• Partner with cross LOB stakeholders to establish and deliver firm wide control standards and procedures including adherence to controls in technology and cyber risk domains (ex - application security, vulnerability management, data management).
• Assess technology and operational risks as AI-ML Technology products evolve with adoption, to effectively define risks and remediation plans.
• Provide updates on product/program and create risk management summary reports to senior leaders.
• Work with production operations to deploy your model into production and support them in monitoring model performance.
• Participate in other data science teams collaborating with your peers to support their projects.
• Participate in knowledge sharing sessions to bring new insights and technologies to the team.
• Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
• Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
• Grow and expand expertise and team with an eye toward diverse and forward-looking skills that span advanced statistics, AI/Machine Learning/Deep Learning, Probabilistic and Generative AI.
• Ability to define and connect the product end to end, enabling conceptualization, development and production.
• Represent Cotiviti at academic and industrial conferences & events
• An innovative background with patents and publications in Tier1/2 journals and conferences.
• Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

• Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
• 10+ years of machine learning and data science experience in high velocity, high-growth companies.
• 5+ years of management experience hiring and developing AI/ML teams.
• Familiar with industry standards, frameworks and recognized best practices such as AIML NIST Framework, PCI, SOC, HIPAA.
• Proven experience in business analysis and driving operational change/system development.
• Able to identify critical requirements and potential gaps by understanding complex and interdependent processes.
• Experience capturing and analyzing requirements (internal and external) and translating them into a viable product through agile development is a must.
• Able to build strong partnerships with technical teams.
• Experience with large-language models (LLMs) is a big plus.
• Experience building and leading expert machine learning teams that have routinely launched new products and features, driving significant revenue.
• Comprehensive technical background, spanning multiple areas including software/systems engineering, machine learning, and computational physics/math with GPU based systems.
• Experience developing machine learning products and capabilities in a cloud environment.
• Strong communication skills to explain and evangelize machine learning to executives and the senior management team.
• Bias to action and passion for delivering high-quality data solutions.
• Strong understanding of risk and control management (e.g. technology, data, cyber and operational).
• Experience working with technical teams in complex program execution environment.
• Experience with the latest techniques in natural language processing including transformers, LLMs, measuring/benchmarking with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases from risk perspective.
• 5+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU is preferred.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Experience communicating technical concepts to non-technical and technical audiences is a plus.
• Passion for collaboration, learn it all mindset, and driving value with AI.

Mental Requirements:

• Ability to work independently as well as collaborate as a team with a sense of urgency.
• Flexibility to work with global teams as well as geographically dispersed US based teams.
• Professional with the ability to properly handle confidential information.
• Be value-driven and understand that success is based on the impact of your work rather than its complexity or the level of effort.
• Ability to handle multiple tasks, prioritize, and meet deadlines.
• Ability to work within a matrixed organization.
• Proficiency in all required skills and competencies above.
• Communicating with others and teamwork.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

• 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
• No adverse environmental conditions are expected.

Base compensation ranges from $200,000.00 to $240,000.00 per year. 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: 1/5/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 03/5/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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