Manager, Data Analytics

Opportunity Overview: Lead analytics and clinical configuration strategy for our auto-decisioning platform, driving end-to-end solutions from data gathering through scaled deployment. Partner cross-functionally to translate business needs into analytical frameworks, independently recommending actions that shape product and business outcomes. Own auto-decisioning strategy for new client implementations with minimal oversight, while ensuring explainable, governance-aligned analytics practices. Build and mentor a high-performing team, embedding best practices for scalable, reusable analytics solutions. Ideal for a strategic thinker who thrives at the intersection of hands-on execution and team leadership in a fast-paced, data-driven environment. What you’ll do: • Provide thought leadership & strategic thinking to translate business problems into analytical and clinical configuration frameworks,and independently recommend actions and provide business insights • Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analytic solutions that includes data gathering, analysis, ongoing scaled deliverables, and presentations • Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization • Foster a collaborative and innovative culture, set clear goals, mentor staff. • Establish best practices and coach team members to develop and execute complex analytics initiatives with scalability and reusability in minds • Develop, implement, and monitor day-to-day operations of analytics and clinical configuration team • Execute analytics initiatives that directly impact our auto decisioning roadmap and business outcomes while working as part of a cross-functional team. • Partner with Data Governance to ensure tractable and explainable analytics and responsible data • Research, design, execute and optimize auto-decisioning strategy for new client implementations with minimal guidance and owning the end-to-end process • Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making • Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients What you’ll need: • 5+ years of hands on management experience in healthcare analytics • 7+ years of experience in data science, analytics, and governance with at least 2 years of management experience hiring and developing teams • Strong software development skills with proficiency in Python and SQL. Experienced user of data science libraries • Proven track record in building and scaling data analytics teams, including recruitment, mentoring, and performance management. • Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning and data science model knowledge to digestible information for non-technical audiences. • Expertise in translating complex business problems into end-to-end data products with a quantifiable business impact Nice-to-haves • Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science. • Solid understanding and experience in machine learning algorithms, statistics, pattern recognition, classification, and data mining models. • Comprehensive knowledge of the healthcare industry, products, systems, business strategies and products. • Experience designing patient and provider analysis strategy and generate actionable insights from claims, emr and/ or lab data What you’ll do: • 1. Lead the analytics and clinical configuration team day-to-day — setting goals, mentoring staff, and coaching best practices for scalable, reusable analytics work. • 2. Own the end-to-end auto-decisioning strategy for new client implementations, from research and design through execution and optimization, with minimal guidance. • 3. Translate business problems into analytical and clinical configuration frameworks, build end-to-end analytic solutions (data gathering, analysis, scaled deliverables, presentations), and track performance to identify improvement opportunities. ISMS roles and responsibilities( Manager Roles) • Good knowledge of Information security • Oversee specific business processes within the ISMS. • Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. • Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. • They are also responsible for implementing risk treatment plans. • Conduct the BCP and other test related to information security continuity along with CISO • Responsible for monitoring and reporting on the performance of the ISMS. • Responsible for implementation of security policies and procedures and report any issues to the CISO. Ability to commute/relocate: • Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Interview Process*: • Connect with Talent Acquisition • Meet with the Hiring Manager • Behavioral Interview(s) • Case Study • Interview with Senior Leadership *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we expanded our AI-native platform with a