• Partner with product, go-to-market, and executive stakeholders — running discovery on ambiguous questions and scoping the metrics and data they actually need • Raise data trust — adding the validation, definitions, and documentation that let users rely on the numbers and our tooling • Expand and own our semantic / metrics layer — defining and maintaining metric definitions and models so analytics are consistent, trustworthy and reusable across the company • Deliver self-serve and AI-accessible analytics — curated datasets, metrics, and reporting that internal partners and our agentic / LLM querying surface can answer on their own • Ingest net new data — designing and building pipelines to bring in new sources such as GTM and product-usage data and modeling them for analytics

• Partner with engineering, operations, program management, and business stakeholders to understand objectives, define reporting requirements, and deliver analytics solutions that support informed decision-making. • Analyze large, complex datasets to identify trends, anomalies, performance gaps, risks, and opportunities for operational improvement. • Conduct data quality assessments, validation, and verification activities to ensure accuracy, completeness, consistency, and integrity across multiple data sources. • Design, implement, automate, and maintain scalable data collection, transformation, validation, and reporting processes. • Develop and maintain dashboards, KPI scorecards, reports, and self-service analytics solutions that provide visibility into operational performance, program health, technical metrics, and business outcomes. • Build data validation frameworks, monitoring processes, and quality controls to proactively identify and resolve data issues. • Collaborate with technical teams to enhance data models, reporting structures, metadata management practices, and overall data governance initiatives. • Translate complex technical findings into clear, concise, and actionable recommendations for both technical and executive audiences. • Drive process improvements through automation, standardization, and implementation of scalable analytics and reporting solutions. • Support root cause investigations by leveraging data to identify drivers of operational issues, risks, and performance challenges. • Document methodologies, business requirements, reporting processes, and data quality standards to ensure consistency and scalability.

Title: Lead Analytics Architect and Engineer Location: Radnor, PA, US Workplace: Hybrid Department: Actuarial, Quantitative & Risk Management Job Description: Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Hartford, CT (Connecticut); Omaha, NE (Nebraska) Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office Relocation assistance: is not available for this opportunity. Requisition #: 76240 The Role at a Glance We are seeking a highly skilled data professional to join the Actuarial Data & Transformation Center of Excellence as a Senior Analytics Architect and Engineer. This role will lead the development of scalable data and analytics solutions supporting Actuarial and Finance stakeholders within the Chief Risk and Actuarial Office. This role owns the design and delivery of data models, semantic layers, and visual analytics solutions, ensuring data is structured and optimized for effective analytical consumption. The role will also help reimagine current analytics capabilities and drive adoption across the organization. What you'll be doing •Own the design and development of data models, semantic layers, and analytics-ready datasets to support actuarial reporting and Tableau consumption •Build and maintain scalable ETL/ELT pipelines using SQL and Python within modern platforms (e.g., Databricks, AWS, Dataiku), applying medallion architecture principles •Partner with stakeholders to translate business needs into technical solutions, leading requirements and solution design •Ensure data quality, consistency, and governance through standards, documentation, and monitoring practices •Own administration and governance of a customer-facing Tableau site, enforcing standards for content organization, access, performance, and user experience to ensure effective analytical consumption •Provide technical leadership and user enablement, including mentoring, training, and driving adoption of analytics tools and best practices What we’re looking for Must Haves •5–7 years of experience in analytics engineering, data engineering, or visual analytics, including at least 1 year of leadership experience •Advanced proficiency in ETL/ELT pipeline development using SQL and Python •Experience designing and maintaining data models for analytics consumption, leveraging medallion architecture •Hands-on experience with Databricks, AWS, Dataiku or similar cloud data platforms •Hands-on experience with Tableau or similar BI tools •Ability to translate business needs into technical solutions •Strong communication and stakeholder management skills Nice-to-haves •Experience in actuarial, insurance, or other financial services •Tableau Certification •Advanced degree in a technical or analytical discipline What’s it like to work here? At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. What’s in it for you: - Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes - Leadership development and virtual training opportunities - PTO/parental leave - Competitive 401K and employee benefits - Free financial counseling, health coaching and employee assistance program - Tuition assistance program - Work arrangements that work for you - Effective productivity/technology tools and training The pay range for this position is $96,900 - $176,200 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package. About The Company Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services. With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach. Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice. Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Be Aware of Fraudulent Recruiting Activities If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters. Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. if you encounter a recruiter or see a job opportunity that seems suspicious. Additional Information This position may be subject to Lincoln’s Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities. Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees. Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558. This Employer Participates in E-Verify. See the E-Verify notices. Este Empleador Participa en E-Verify. Ver el E-Verify avisos.

Role Description Mathematica is seeking an experienced Programming Lead to drive the development of measures, analytics, and data processing capabilities within the Imersis platform. Imersis is a cloud-based analytics platform that helps state Medicaid agencies transform complex T-MSIS data into actionable insights. The Programming Lead serves as the technical leader for measure and analytics development, translating business requirements, Medicaid policy guidance, and analytic methodologies into scalable, maintainable software solutions. - Lead the design, development, testing, and maintenance of data quality measures, performance measures, operational metrics, and advanced analytic methodologies within the Imersis platform. - Translate federal guidance, Medicaid policy requirements, business needs, and analytic specifications into scalable production code. - Develop reusable frameworks for measure calculation, cohort construction, attribution, benchmarking, trend analysis, and other analytic functions. - Design and implement data transformation, validation, and analytic workflows using SQL, Python, and cloud-based data technologies. - Ensure analytic methods are transparent, reproducible, and aligned with industry standards and client requirements. - Leverage deep understanding of T-MSIS data structures and Medicaid data systems to develop robust measures and analytics that generate actionable insights for state agencies. - Serve as the primary technical lead for measure and analytics development within Imersis. - Establish standards and best practices for analytic programming, software quality, testing, documentation, and code review. - Guide technical design decisions related to analytic architecture, scalability, performance, and maintainability. - Evaluate impacts of CMS guidance changes, T-MSIS updates, and emerging Medicaid reporting requirements on platform functionality. - Lead code reviews and provide technical mentorship to programmers, analysts, and other developers. - Drive continuous improvement in development processes, tooling, and analytic infrastructure. - Partner with product managers, engineers, researchers, and Medicaid subject matter experts to define and implement new platform capabilities. - Contribute to the strategic vision for expanding Imersis from a data quality measurement platform into a comprehensive Medicaid analytics solution. - Identify opportunities to leverage advanced analytics, artificial intelligence, machine learning, and automation to enhance platform capabilities. - Support the design of features that help users understand not only what occurred in their data, but also why it occurred and what actions may improve outcomes. - Develop and maintain testing frameworks to validate measure calculations, analytic outputs, and data processing workflows. - Ensure consistency, transparency, and reproducibility across platform releases. - Investigate and resolve complex data, logic, and performance issues. - Support release planning, validation, and production deployment activities. - Collaborate with Medicaid policy experts, researchers, analysts, and clients to interpret requirements and translate them into technical solutions. - Communicate complex analytic concepts and methodologies to both technical and non-technical audiences. - Support client demonstrations, technical discussions, and strategic planning efforts. - Partner across teams to ensure platform capabilities align with client needs and organizational priorities. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Public Health Informatics, or a related field; advanced degree preferred. - 7+ years of experience developing analytic, measurement, or data-processing solutions in healthcare, Medicaid, or related domains. - Expert-level programming skills in SQL and strong proficiency in Python for data processing, analytics, testing, and automation. - Deep knowledge of T-MSIS data structures, content, and relationships, including eligibility, claims, encounters, providers, managed care, and related Medicaid data domains. - Demonstrated experience working directly with T-MSIS data to support data quality assessment, performance measurement, program evaluation, policy analysis, or operational analytics. - Experience designing and implementing complex measures, business rules, validation frameworks, and analytic methodologies in production environments. - Proven ability to translate federal guidance, business requirements, and analytic specifications into scalable, maintainable technical solutions. - Experience leading technical projects and influencing product and architectural decisions. - Demonstrated ability to mentor and develop technical staff. - Strong analytical, problem-solving, written communication, and stakeholder engagement skills. - Experience with Agile software development methodologies, CI/CD pipelines, automated testing frameworks, and modern software engineering practices. Requirements - To apply, please submit your resume and cover letter. - This position offers an anticipated annual base salary range of $130,000-$160,000. - Any offer of employment will be contingent upon passing a background check. - Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. Benefits - Competitive salaries and a comprehensive benefits package. - Financial benefits of ESOP holdings that have increased with the company’s growth and financial strength. - Opportunities to meet up with co-workers through coworking spaces where available.