Fractal Analytics

Role Description We are seeking an Insurance Transformation SME to support strategic transformation initiatives across underwriting, policy administration, claims, operations, and digital modernization programs for leading Insurance clients. This role is ideal for an Insurance professional who combines strong business domain expertise with analytical thinking, stakeholder management, and a passion for driving business transformation. The successful candidate will work closely with client business leaders, technology teams, and transformation consultants to identify improvement opportunities, define future-state processes, and help deliver measurable business outcomes. The candidate should have good technical knowledge of the latest trends like Ontology, Semantic layer development, Gen AI/BI. This position offers significant growth opportunities into transformation consulting, Insurance advisory, and AI-enabled business modernization leadership roles. Responsibilities - Insurance Business Analysis - Strong Insurance domain knowledge, including claims, underwriting, policy administration, or regulatory use cases. - Analyze Insurance business processes, workflows, and operational performance across underwriting, claims, policy administration, billing, and customer operations. - Gather, document, and validate business requirements from client stakeholders. - Perform current-state assessments and identify opportunities for operational improvement. - Digital & Business Transformation - Support Insurance modernization and transformation programs. - Participate in business process redesign, operating model assessments, and future-state solution development. - Assist in developing business cases, transformation roadmaps, and value-realization frameworks. - Data & Insights - Analyze business and operational data to identify trends, risks, bottlenecks, and improvement opportunities. - Develop dashboards and reports using Power BI, Tableau, or similar platforms. - Translate data into actionable business recommendations for stakeholders and leadership teams. - Stakeholder Engagement - Facilitate discovery sessions, workshops, and requirements gathering meetings. - Collaborate with cross-functional teams including business, operations, product, and technology stakeholders. - Prepare executive-level presentations, status updates, and solution recommendations. - Technology Enablement - Support implementation and optimization of Insurance technology solutions. - Deep expertise in ontology engineering and semantic modeling. - Work closely with business and technology teams to align business requirements with solution designs. - Contribute to AI, automation, and analytics-driven transformation initiatives. - Continuous Improvement - Stay current on Insurance industry trends, regulatory changes, and emerging technologies. - Contribute to best practices, reusable frameworks, and thought leadership initiatives. Qualifications - 10–15 years of experience in the Insurance industry, Insurance consulting, business analysis, transformation, or operations roles. - Experience working on business transformation, modernization, process improvement, or strategic initiatives. - Insurance Domain Knowledge - Strong understanding of one or more of the following areas: - Underwriting - Claims - Policy Administration - Commercial Insurance - Personal Lines - Life & Annuities - Insurance Operations - Analytics & Technology - Strong SQL skills for data analysis and reporting. - Ontology and semantic layer foundation. - Good understanding of cloud, data platforms e.g. Snowflake, Databricks. - Understanding data models, reporting frameworks, and business intelligence concepts. - Consulting & Communication - Strong problem-solving and analytical thinking skills. - Ability to communicate complex concepts to both technical and business audiences. - Experience facilitating stakeholder discussions and requirements workshops. - Strong written and verbal communication skills. Preferred Qualifications - Experience with Guidewire, Duck Creek, Majesco, or similar Insurance platforms. - Exposure to Insurance transformation or consulting engagements preferably in big consulting. - Knowledge of AI, automation, and digital transformation initiatives. - CPCU, AINS, or other Insurance industry certifications. - MBA or advanced degree. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Up to $235,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits - Eligible for health, dental, vision, life insurance, and disability plans on the first day of employment. - Eligible to participate in the Company 401(k) Plan after 30 days of employment. - 11 paid holidays and 12 weeks of Parental Leave. - “Free time” PTO policy, allowing flexibility for sick time or vacation.

Role Description We are looking for a Digital Operations Engineer with strong expertise in data engineering, Azure cloud, and data quality frameworks. The role focuses on building scalable data platforms, ensuring high data reliability and quality, and enabling seamless operations through automation and monitoring. The ideal candidate will have hands-on experience with Databricks, Python, SQL, and a strong foundation in data quality and governance practices. Key Responsibilities - Data Engineering & Platform Development - Design, develop, and maintain robust data pipelines using Azure Databricks, Python, and SQL - Build and optimize ETL/ELT processes for batch and real-time data - Implement scalable solutions using Spark and distributed data processing frameworks - Develop reusable components and standardized data engineering practices - Data Quality & Governance - Design and implement data quality frameworks (validation rules, anomaly detection, profiling) - Establish data quality KPIs such as completeness, accuracy, consistency, and timeliness - Build data validation pipelines and automated checks within ETL processes - Perform root cause analysis for data issues and implement corrective/preventive actions - Collaborate with business teams to define data standards and governance policies - Azure & Databricks Platform - Work on Azure ecosystem: Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure Databricks - Optimize Delta Lake architectures and ensure efficient data storage and access - Implement secure and scalable data lake/lakehouse solutions - Digital Operations & Production Support - Monitor data pipelines and workflows for failures, latency, and performance issues - Ensure production stability, SLA adherence, and incident management - Set up monitoring, logging, and alerting (Azure Monitor, Log Analytics) - Support data reconciliation and audit processes - DevOps & Automation - Implement CI/CD pipelines using Azure DevOps and Git - Automate deployment of data pipelines and infrastructure (ARM templates/Terraform) - Integrate automated data quality checks into CI/CD workflows - Ensure proper versioning and release management practices Qualifications - Strong experience in Python and SQL - Hands-on experience with Azure Databricks (Spark, Delta Lake) - Experience with Azure data services (ADF, ADLS, Synapse) - Solid understanding of data engineering concepts (ETL/ELT, data modeling, warehousing) - Proven experience in data quality frameworks, tools, and methodologies - Experience with DevOps tools (Azure DevOps, Git, CI/CD pipelines) Requirements - Experience implementing data validation, profiling, and cleansing techniques - Knowledge of tools/frameworks like Great Expectations, Deequ, or custom validation frameworks - Understanding of data governance, lineage, and metadata management - Strong troubleshooting and debugging capabilities - Experience in production support and incident handling - Familiarity with monitoring and logging tools Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is: $150,000 - $170,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits - Health, dental, vision, life insurance, and disability plans - Eligible for benefits on the first day of employment - Participation in the Company 401(k) Plan after 30 days of employment - 11 paid holidays - 12 weeks of Parental Leave - “Free time” PTO policy for sick time or vacation

Role Description As a Senior Power BI Engineer, you will be responsible for designing, developing, and maintaining advanced Power BI dashboards and data models that deliver actionable insights to business stakeholders. You will work closely with cross-functional teams to understand business requirements, translate them into technical solutions, and ensure data accuracy, performance, and scalability. - Develop and maintain interactive dashboards and reports using Power BI. - Create data models, DAX measures, and Power Query transformations to support business logic. - Collaborate with stakeholders to gather requirements and translate them into visual analytics. - Ensure data accuracy, consistency, and performance optimization across reports. - Implement security policies and role-based access controls for sensitive data. - Integrate Power BI with cloud platforms (Azure Data Lake, SQL Server, ADF pipelines). - Support incremental data loads, SSIS packages, and scheduled refresh jobs. - Provide training and documentation for end-users and business teams. - Stay updated with the latest Power BI features and recommend enhancements. Qualifications - Strong proficiency in Power BI, DAX, Power Query, and SQL. - Experience with data warehousing, ETL pipelines, and data modeling. - Familiarity with Azure services, including Data Factory, Synapse, and Data Lake. - Hands-on experience with SSIS, Python, and PySpark (preferred). - Understanding of Power BI licensing, capacity planning, and deployment pipelines. - Ability to work with large datasets, optimize performance, and troubleshoot issues. Requirements - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 6+ years of experience in BI development, with at least 4 years in Power BI. - Experience in CPG, healthcare, or financial domains is a plus. - Strong communication, analytical thinking, and stakeholder management skills. - Exposure to design thinking, user-first reporting, and KPI-driven dashboards. Benefits - Eligibility for health, dental, vision, life insurance, and disability plans from the first day of employment. - Participation in the Company 401(k) Plan after 30 days of employment. - 11 paid holidays and 12 weeks of Parental Leave. - “Free time” PTO policy, allowing flexibility for sick time or vacation.

Role Description We are seeking a highly skilled Agentic AI Engineer to design and build intelligent automation solutions for large-scale enrollment and benefits administration systems. The platform currently processes over 15 million enrollment-related transactions, with approximately 80% of scenarios handled through deterministic rule-based automation and the remaining 20% requiring manual intervention. The objective of this role is to leverage Agentic AI, LLMs, and machine learning techniques to: - Automate complex exception handling - Accelerate rule creation - Reduce testing effort - Continuously evolve the decisioning framework as new scenarios emerge in production The ideal candidate will have strong expertise across: - AI/ML engineering - Full-stack development - MLOps - Workflow orchestration - Rule-engine modernization Qualifications - Strong experience in Machine Learning, Generative AI, and Agentic AI systems - Expert-level Python development skills - Experience with business rule engines and decision management platforms - Experience with model deployment, monitoring, and lifecycle management - Strong analytical and problem-solving skills Requirements - Experience building AI agents using LangGraph, LangChain, and OpenAI / Anthropic / Azure OpenAI ecosystems - Knowledge of probabilistic reasoning and AI-driven decision systems - Understanding of DMN (Decision Model and Notation) and XML-based rule representations - Experience with PyDMN or similar decision automation frameworks preferred - Knowledge of containerization and cloud-native architectures - Familiarity with ML observability and evaluation frameworks Benefits - Health, dental, vision, life insurance, and disability plan eligibility from the first day of employment - Participation in the Company 401(k) Plan after 30 days of employment - 11 paid holidays - 12 weeks of Parental Leave - “Free time” PTO policy for sick time or vacation

Role Description Building the machine learning production System (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients. Responsibilities - Leader for MLOPs in the AI@Scale practice. - Architect and execute technology projects across client AI and Engineering engagements. - Build trusted relationships with middle and senior management across lines. - Support client projects, lead solution design, and contribute to overall MLOps engineering using on-premise (open-source) or cloud-based (AWS) architectures. - Act as a subject matter expert in machine-learning model deployment and MLOps pipelines. - Research and evangelize the use of GenAI, data-science, and engineering solutions for strategic decision-making. - Articulate business value and benefits of technological solutions to senior business and technology partners. - Research, design, and implement leading-edge MLOps architecture patterns to solve hard problems for clients. - Lead client delivery engagements and develop detailed business cases, product roadmaps, and financial justifications. - Implement AI and engineering processes and governance methods to manage delivery risk. - Help clients define and design AI-based solution architectures. - Provide thought leadership in enterprise-grade machine-learning operations and modern cloud adoption patterns. - Develop product roadmaps and help clients prioritize based on business objectives and impact. Qualifications - 15+ years of experience building engineering and data-science businesses across various technologies. - Deep technical skills along with strong client and market orientation. - Experience or expertise in building and deploying machine-learning pipelines. - Experience or expertise in cloud-based and hybrid deployments. - Experience with Model repository (either of): MLFlow, Kubeflow Model Registry. - Experience working across all phases of model development lifecycle to build MLOPs components. - Experience with cloud-based technologies (AWS). - Experience building production-grade LLM based solutions. - Visionary with experience in building large production systems. - Prior experience engaging with CXOs of client companies. - Client service orientation with the ability to work with client leadership to develop solutions. - Exhibits high learning orientation and stays abreast of industry/technology trends relevant to AI and machine learning. Education - B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: $140,000 - $205,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits - Eligible for health, dental, vision, life insurance, and disability plan from the first day of employment. - Eligible to participate in the Company 401(k) Plan after 30 days of employment. - 11 paid holidays and 12 weeks of Parental Leave. - “Free time” PTO policy for sick time or vacation.

Role Description The Sales Leader will own the end-to-end sales function for the corporate L&D segment. This includes developing a high-performing sales team, creating go-to-market strategies, and closing high-value enterprise deals. The ideal candidate brings experience in SaaS sales and a deep understanding of how organizations approach learning, development, and talent transformation. Key Responsibilities - Sales Strategy & Execution - Develop and execute a sales strategy targeting enterprise L&D leaders, CHROs, and Talent Development teams. - Define target segments, refine ideal customer profiles (ICPs), and align sales messaging with buyer needs. - Partner closely with marketing and product teams to craft compelling value propositions and GTM motions. - Pipeline Management & Revenue Growth - Build, maintain, and forecast a robust enterprise sales pipeline across industries and geographies. - Drive enterprise deal cycles—solution selling, value articulation, stakeholder alignment, and closing. - Consistently meet or exceed quarterly and annual revenue goals. - Team Leadership - Hire, coach, and scale a world-class B2B enterprise sales team as the business grows. - Establish a metrics-driven sales culture focused on accountability, continuous learning, and customer impact. - Foster collaboration with Customer Success, Solutions, and Product to ensure seamless post-sale transitions. - Client & Partner Engagement - Build trusted relationships with enterprise buyers and influencers, including L&D heads, CLOs, and HR executives. - Represent the company at HR Tech, learning industry forums, and executive briefings. - Identify strategic partnership opportunities to expand reach (e.g., content providers, consulting firms, HR tech integrators). Qualifications - Must-Haves - Experience of B2B sales experience, including 3+ years in a leadership role within SaaS, EdTech, or HR tech. - Proven track record selling to corporate L&D, HR, or Talent Development teams in mid-to-large enterprises. - Experience with consultative/solution selling in complex sales environments with multiple stakeholders. - Excellent communication, executive presence, and negotiation skills. - Preferred - Familiarity with the L&D tech stack (LMS, LXPs, skills platforms, coaching tools, etc.). - Background in selling AI, analytics, or adaptive learning platforms. - Passion for learning, talent development, and future-of-work innovation. Benefits - Competitive base and performance-based variable compensation. - Equity participation in a high-growth startup. - Remote-first, collaborative, and purpose-driven work culture. - Direct impact on the upskilling of today’s and tomorrow’s workforce. - Career path into senior executive or global commercial roles. - Health, dental, vision, life insurance, and disability plans. - Eligible for benefits on the first day of employment. - Participation in the Company 401(k) Plan after 30 days of employment. - 11 paid holidays and 12 weeks of Parental Leave. - “Free time” PTO policy for flexibility in taking time off.

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Senior GenAI Data Scientist Remote Job Summary The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data. The position focuses on building robust Python-based data pipelines, applying state-of-the-art techniques such as Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, and embedding optimization, and ensuring scalable deployment on Azure using MLOps best practices. The role requires close collaboration with engineering teams to productionize, monitor, and continuously improve models through experimentation, A/B testing, and metrics-driven iterations, ultimately delivering reliable and high-impact AI solutions. Job Description - Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. - Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. - Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. - Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. - Deploy models using Azure, ensuring scalability and governance with MLOps best practices. - Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. - Collaborate with engineering teams for productionization and monitoring of models. - Drive continuous improvement through metrics-driven insights and iterative refinements. Pay: The wage range for this role considers the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $140,000. You are also, eligible for discretionary annual bonus. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries India: HiringsupportIndia@fractal.ai Outside India: HiringsupportROW@fractal.ai Please share resume via job postings Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Business Analyst, Provider Networks & Care Management Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Note: This position is not eligible for Immigration Sponsorship at this time Location: Remote Role Overview: We are seeking an experienced Business Analyst (BA) with strong expertise in Provider Network management and Care Management programs. This role partners with clinical, network, operations, IT, and analytics teams to analyze business processes, define requirements, and support initiatives that improve clinical outcomes, operational efficiency, cost management, and regulatory compliance. The ideal candidate has deep knowledge of healthcare payer operations, understands end‑to‑end care management workflows, and can translate business needs into clear functional and technical requirements. Key Responsibilities - Provider Network Analysis - Analyze provider network operations including contracting, credentialing, directory management, network adequacy, and access standards. - Support initiatives related to network optimization, provider performance, and value‑based care arrangements. - Gather and document requirements for provider data management, directory accuracy, and compliance reporting. - Act as a liaison between business users and technical teams for provider network systems. Care Management & Clinical Programs - Analyze Care Management workflows, including utilization management, case management, disease management, and population health programs. - Support process improvements around prior authorization, referrals, transitions of care, and closure of care gaps. - Translate clinical and operational needs into clear business and system requirements. - Assist in the measurement and reporting of care outcomes, quality metrics, and utilization trends. Business & Systems Analysis - Conduct stakeholder interviews, workshops, and current‑state/future‑state process analysis. - Develop Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), process flows, and user stories. - Support system enhancements, integrations, and data initiatives related to provider and care management platforms. - Validate solutions through UAT planning, execution, and defect triage. Data, Reporting & Compliance - Analyze healthcare data related to cost, utilization, quality, risk stratification, and provider performance. - Support reporting for regulatory and accreditation requirements (e.g., CMS, NCQA, state mandates). - Ensure alignment with healthcare standards such as ICD‑10, CPT, HCPCS, HEDIS, and FHIR where applicable. Qualifications - 6–10+ years of experience as a Business Analyst in healthcare. - Strong hands‑on experience with Provider Network operations and Care Management programs. - Experience working with payer systems or healthcare platforms supporting network and care management functions. Domain Knowledge - Provider contracting, credentialing, and directory management. - Care Management, Utilization Management, Case/Disease Management models. - Value‑Based Care, ACOs, and quality improvement initiatives. - Understanding of payer workflows and end‑to‑end member/provider lifecycle. Technical & Functional Skills - Requirements elicitation and documentation (BRD, FRD, user stories). - Process modeling tools (Visio, Lucidchart, BPMN). - Agile and/or Waterfall delivery methodologies. - Data analysis using SQL, Excel, or BI tools (reported or self‑service). - Familiarity with healthcare platforms such as care management systems, provider data systems, and claims platforms. Soft Skills - Strong communication skills with clinical, business, and technical stakeholders. - Ability to translate complex clinical and operational concepts into actionable requirements. - Analytical mindset with strong problem‑solving capabilities. - Proven ability to manage multiple priorities in a fast‑paced environment. Nice‑to‑Have - Experience supporting HEDIS, Stars, Risk Adjustment, or Quality programs. - Exposure to FHIR‑based integrations and healthcare interoperability initiatives. - Certification such as CBAP, CCBA, or PMI‑PBA. - Experience in payer modernization or digital health transformation initiatives. Success Metrics - Improved efficiency and accuracy of provider network and care management processes. - Successful delivery of system enhancements aligned to business needs. - Reduction in rework or defects through clear requirements and UAT support. - Positive stakeholder feedback and measurable impact on care quality and operational outcomes. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base salary is up to $195,000. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries India: HiringsupportIndia@fractal.ai Outside India: HiringsupportROW@fractal.ai Please share resume via job postings Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!