4 Population Health Jobs

About the Role: We are looking for an experienced and forward-thinking Strategic Consultant to lead healthcare-focused growth, transformation, and account strategy initiatives. Your responsibilities will include executing complex business transformations, identifying growth opportunities, and supporting strategic M&A decisions within the healthcare sector. The ideal candidate will have strong analytical abilities, a growth-oriented mindset, and a passion for driving impactful changes in healthcare. Key Responsibilities: Strategic Analysis & Insights Development: Conduct in-depth analysis of clients" existing processes and market positioning to uncover growth and transformation opportunities. Develop data-driven insights to form effective business strategies, especially within the healthcare sector. Business Transformation Leadership: Lead business transformation projects by evaluating current workflows, identifying inefficiencies, and designing optimized solutions to enhance overall performance. Collaborate with stakeholders for seamless integration of transformative initiatives. Growth-Oriented Planning: Create and implement growth-focused strategies based on market insights and industry trends to support clients" expansion and operational goals in healthcare. Drive initiatives that promote revenue growth, market expansion, and service innovation. Account Strategy Development: Develop and refine account strategies aligned with clients" goals, focusing on strengthening relationships, improving service delivery, and enhancing customer satisfaction. Create targeted plans for account growth and long-term client success. M&A Research and Analysis: Conduct thorough research and due diligence for mergers and acquisitions, assessing potential opportunities and risks to guide strategic decisions. Provide actionable recommendations aligned with clients" growth and transformation objectives. Continuous Market & Industry Research: Stay updated on industry trends, healthcare regulations, and emerging market opportunities to offer forward-looking strategies that maintain a competitive edge for clients. Cross-Functional Collaboration: Collaborate closely with internal teams and client stakeholders to implement strategic initiatives. Offer guidance and support throughout project phases and facilitate alignment with growth objectives. Effective Communication of Insights: Present complex analyses and strategic recommendations to client stakeholders and senior leadership in a clear and compelling manner. Build strong client relationships by articulating the value of proposed strategies and transformation initiatives effectively. Qualifications: - Education: Bachelors or MBA degree. - Adaptability and Flexibility: Ability to work effectively across various time zones and diverse business environments. - Technical Skills: Knowledge of healthcare systems, clinical workflows, financial models, and data analytics tools. - Soft Skills: Strong leadership, project management, communication, and problem-solving skills with a passion for collaboration in a fast-paced setting. Preferred Skills: Background in claims auditing, healthcare technology, population health, or business development. Experience in strategy development for value-based care or healthcare coordination is a plus. Our Values: - Teamwork: Prioritizing collaboration with diverse teams to achieve shared goals. - Continuous Learning: Fostering an environment that encourages growth and development in alignment with the future of healthcare. - Customer-Centric Focus: Understanding and meeting customer needs to drive value in every interaction. - Adaptability: Leading through change and championing innovation for individual and organizational success. What We Offer: EXL Health provides an exciting and innovative environment where you can work with experienced Healthcare consultants from day one. You will gain insights into various business aspects, develop teamwork, and time-management skills. We offer guidance through mentoring programs and opportunities for personal and professional growth within the company. Why Join EXL Health : - Inclusive and Dynamic Culture: Embracing diverse perspectives and fostering continuous learning and growth. - Innovative Environment: Being part of a forward-thinking team that values and promotes innovation and creativity. Apply today to redefine healthcare solutions and drive better outcomes. Your expertise and leadership can create a significant impact!,

Optum is a global organization dedicated to improving healthcare outcomes for millions of individuals worldwide through innovative technology. Joining our team means playing a direct role in enhancing health equity on a global scale, by connecting individuals with the care, pharmacy benefits, data, and resources necessary for optimal well-being. At Optum, you will be part of a diverse and inclusive culture that values talent, offers comprehensive benefits, and provides ample opportunities for career development. Come be a part of our mission to make a positive impact on the communities we serve by caring, connecting, and growing together. We are currently looking for a Senior Clinical Analyst who is passionate about leveraging data-driven decision-making to optimize clinical processes within client health systems. In this role, you will be responsible for compiling and organizing healthcare and operational data to support informed decision-making across the organization. You will also play a key role in evolving clinical analytics to enhance insight generation, root-cause identification, and best-practice adoption. Key Activities: - Compile and organize healthcare and operational data to support data-driven decision-making. - Evolve clinical analytics to increase insight generation and best-practice adoption. - Identify opportunities to adopt sophisticated analytical models for actionable insights. - Ensure accurate data capture for clinical analytics portfolio rationalization. - Support content curation and dissemination processes for decision-making at all levels. - Create analytics to support effective decision-making across various health system sites of care. Primary Responsibilities: - Create new analytical insights related to clinical effectiveness, quality, outcomes, and performance. - Develop solutions to support requirements and answer relevant questions about performance and optimization. - Prioritize business needs within the clinical domain while considering resource availability. - Follow best practices for content curation and analytical storytelling. - Document processes throughout the analytical lifecycle. - Comply with company policies, procedures, and directives related to employment terms. Required Qualifications: - Bachelor's Degree - 5 years of healthcare experience with a background in health system analytics. - 3 years of experience in clinically focused consulting or large healthcare projects. - Ability to interact with leadership at all levels. - Proven track record in promoting analytics-based decision-making. - Familiarity with key health management areas. - Expertise in compiling and organizing healthcare data. - Strong ability to manage analytics initiatives. - Excellent communication skills. - Willingness to travel as needed. Preferred Qualifications: - Advanced degrees or certifications in relevant fields. - Epic Certifications. - Clinical licensure or experience. - Proficiency in SQL or willingness to learn. - Experience with BI tools or willingness to learn. - Participation in cross-functional efforts. - Experience with advanced analytical methodologies. If you are a service-oriented individual with a passion for leveraging data to drive clinical optimization, we encourage you to apply for the Senior Clinical Analyst position at Optum. Make a difference in healthcare delivery systems while growing your career in a supportive and dynamic environment. Apply now through the Internal Employee Application. This position is based in Hyderabad, Telangana, IN.,

We are looking for an experienced Data Modeller with a specialization in designing and implementing data models for modern data platforms. Your role will entail a deep understanding of data modeling techniques, particularly in healthcare data structures, and expertise in the Databricks Lakehouse architecture. The ideal candidate will have a track record of successfully translating complex business requirements into efficient and scalable data models to support analytics and reporting needs. As a Data Modeller, your main responsibility will be to design and implement logical and physical data models for our Databricks-based Modern Data Platform. Working closely with business stakeholders, data architects, and data engineers, you will create models that facilitate the migration from legacy systems to the Databricks Lakehouse architecture. Your focus will be on ensuring data integrity, performance, and compliance with healthcare industry standards. Key Responsibilities - Design and implement logical and physical data models for Databricks Lakehouse implementations - Translate business requirements into efficient, scalable data models - Create and maintain data dictionaries, entity relationship diagrams, and model documentation - Develop dimensional models, data vault models, and other modeling approaches as necessary - Support the migration of data models to the Databricks platform - Collaborate with data architects to ensure alignment with overall data architecture - Work with data engineers to implement and optimize data models - Ensure compliance of data models with healthcare industry regulations and standards - Implement best practices and standards for data modeling - Provide guidance on data modeling techniques and approaches - Participate in data governance initiatives and data quality assessments - Stay updated with evolving data modeling techniques and industry trends Qualifications - Extensive experience in data modeling for analytics and reporting systems - Strong knowledge of dimensional modeling, data vault, and other methodologies - Experience with Databricks platform and Delta Lake architecture - Expertise in healthcare data modeling and industry standards - Experience in migrating data models from legacy systems to modern platforms - Strong SQL skills and familiarity with data definition languages - Understanding of data governance principles and practices - Experience with data modeling tools and technologies - Knowledge of performance optimization techniques for data models - Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred - Professional certifications in data modeling or related areas Technical Skills - Data modeling methodologies (dimensional, data vault, etc.) - Databricks platform and Delta Lake - SQL and data definition languages - Data modeling tools (erwin, ER/Studio, etc.) - Data warehousing concepts and principles - ETL/ELT processes and data integration - Performance tuning for data models - Metadata management and data cataloging - Cloud platforms (AWS, Azure, GCP) - Big data technologies and distributed computing Healthcare Industry Knowledge - Healthcare data structures and relationships - Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.) - Healthcare data standards (HL7, FHIR, etc.) - Healthcare analytics use cases and requirements - Optionally Healthcare regulatory requirements (HIPAA, HITECH, etc.) - Clinical and operational data modeling challenges - Population health and value-based care data needs Personal Attributes - Strong analytical and problem-solving skills - Excellent attention to detail and focus on data quality - Ability to translate complex business requirements into technical solutions - Effective communication with both technical and non-technical stakeholders - Collaborative approach to working with cross-functional teams - Self-motivated and able to work independently - Continuous learner staying current with industry trends What We Offer - Opportunity to design data models for cutting-edge healthcare analytics - Collaborative and innovative work environment - Competitive compensation package - Professional development opportunities - Work with leading technologies in the data space This position requires a unique combination of data modeling expertise, technical knowledge, and understanding of the healthcare industry. The ideal candidate will have a proven track record of designing efficient data models and a passion for creating data structures that drive powerful analytics and insights.,

You are an experienced Data Modeller with specialized knowledge in designing and implementing data models for modern data platforms, specifically within the healthcare domain. Your expertise includes a deep understanding of data modeling techniques, healthcare data structures, and experience with Databricks Lakehouse architecture. Your role involves translating complex business requirements into efficient and scalable data models that support analytics and reporting needs. You will be responsible for designing and implementing logical and physical data models for Databricks Lakehouse implementations. Collaboration with business stakeholders, data architects, and data engineers is crucial to create data models that facilitate the migration from legacy systems to the Databricks platform while ensuring data integrity, performance, and compliance with healthcare industry standards. Key responsibilities include creating and maintaining data dictionaries, entity relationship diagrams, and model documentation. You will develop dimensional models, data vault models, and other relevant modeling approaches. Additionally, supporting the migration of data models, ensuring alignment with overall data architecture, and implementing data modeling best practices are essential aspects of your role. Your qualifications include extensive experience in data modeling for analytics and reporting systems, strong knowledge of dimensional modeling, data vault, and other methodologies. Proficiency in Databricks platform, Delta Lake architecture, healthcare data modeling, and industry standards is required. You should have experience in migrating data models from legacy systems, strong SQL skills, and understanding of data governance principles. Technical skills that you must possess include expertise in data modeling methodologies, Databricks platform, SQL, data definition languages, data warehousing concepts, ETL/ELT processes, performance tuning, metadata management, data cataloging, cloud platforms, big data technologies, and healthcare industry knowledge. Your knowledge should encompass healthcare data structures, terminology, coding systems, data standards, analytics use cases, regulatory requirements, clinical and operational data modeling challenges, and population health and value-based care data needs. Your educational background should include a Bachelor's degree in Computer Science, Information Systems, or a related field, with an advanced degree being preferred. Professional certifications in data modeling or related areas would be advantageous for this role.,