SmartLight Analytics

Product Manager

• Responsible for defining product vision, driving roadmap execution, and ensuring product investments deliver measurable value to customers and the business
• Work closely with stakeholders across operations, analytics, engineering, clinical review, and executive leadership to identify opportunities, prioritize initiatives, and translate business needs into product solutions
• Own the product lifecycle from discovery through delivery, balancing customer needs, business objectives, and technical considerations to drive successful outcomes
• Partner closely with engineering and QA teams throughout the development process while maintaining accountability for product strategy, prioritization, and business impact
• Define and communicate product vision, strategy, and roadmap aligned with company objectives
• Identify market opportunities, customer pain points, and business needs through stakeholder engagement, research, and data analysis
• Prioritize product initiatives based on customer value, business impact, technical feasibility, and strategic alignment
• Develop business cases and success metrics for product investments
• Maintain and evolve product roadmaps to support organizational priorities and changing market conditions
• Collaborate with customers, internal stakeholders, and subject matter experts to understand needs and define product requirements
• Translate business objectives into detailed product requirements, user stories, and acceptance criteria
• Lead product discovery efforts, including process analysis, workflow design, and feature validation
• Partner with engineering and QA teams throughout the development lifecycle

Full-stack Engineer

• Design and build fullstack web apps and APIs that handle complex healthcare data
• Deploy and optimize scalable, secure apps on Azure/Kubernetes
• Collaborate in an agile environment to deliver high-impact solutions
• Improve performance, reliability, and automation with modern DevOps practices
• Stay on top of emerging tech and bring new ideas to the table

Senior Software Engineer

Director

• Attend monthly Business Review meetings with clients providing detailed and analytical data insights as it relates to carrier engagement.
• Attend monthly Carrier meetings providing referral findings and leading data-driven discussion
• Hands-on delivery of the carrier experience vision, standards and service models
• Lead initiatives that strengthen trust, transparency, and partnership with carriers
• Identify performance gaps and lead cross‑functional improvement plans
• Manage escalations and ensure timely resolution of carrier issues
• Champion a consistent, high‑quality experience across all carrier and client touchpoints
• Serve as an executive liaison for carrier and client relationships focusing on service, performance and partnership
• Develop team capabilities in communication, analytics, relationship management, and problem-solving

Director of Carrier Engagement

Strategy

• Own and drive end‑to‑end solutions across healthcare claims data initiatives, from problem definition through implementation and validation.
• Serve as a senior authority on medical, pharmacy, behavioral health, dental, DME, and ancillary claims data.
• Design, build, and optimize advanced SQL‑based data models, views, and automation frameworks with a focus on performance, scalability, and maintainability.
• Develop and maintain complex claim adjustment sequencing and disposition logic, including support for split claims and multiple, disparate source configurations.
• Build utilization metrics tied directly to underlying service‑level data, including inpatient, outpatient, professional, and behavioral health levels of care.
• Apply deep expertise in healthcare transactions and standards, including 837, 834, 820, HL7, and CCDA, to ensure data accuracy and analytical integrity.
• Proactively identify data gaps, risks, and improvement opportunities and drive them to resolution without waiting for direction.
• Partner closely with product, analytics, engineering, and leadership teams to ensure claims data assets support broader business and client goals.

Claims Data Strategy Lead

Account Manager

• Act as the primary point of contact for self-insured employer clients, ensuring satisfaction and fostering long-term relationships.
• Serve as a trusted advisor, understanding client needs and challenges, and offering strategic solutions to improve their healthcare programs.
• Coordinate and lead regular client check-ins, presentations, and strategic reviews to ensure alignment and satisfaction.
• Collaborate with internal teams (data, data science, clinical and investigative, executives etc.) to ensure optimal service delivery to clients.
• Utilize advanced analytics tools and techniques to create insights that inform decision-making, cost-saving strategies, and enhanced plan management.
• Review client feedback and performance metrics to ensure solutions meet or exceed expectations.
• Develop and deliver regular client-facing reports and presentations that highlight key performance metrics, trends, and opportunities.

Director of Account Management

QA Engineer

• Design, execute, automate, and document tests across engineering products, including web applications, CI/CD pipelines, SSMS & Snowflake databases, Azure Kubernetes Services (AKS), and backend services (APIs, background jobs, etc.).
• Build, maintain, and expand automated test suites using Selenium with Python and other modern automation tools.
• Write and optimize SQL queries for validating data, troubleshooting issues, and supporting test case execution.
• Perform root‑cause analysis to evaluate severity, scope, and validity of reported issues from stakeholders.
• Collaborate with engineering teams to define test strategies, acceptance criteria, and regression coverage.

Software QA Analyst II

Analyst

• Identify Pharmacy billing activities leading to improper payments.
• Review Pharmacy claims, insured members, or the broker community in coordination with the customer’s carrier or third-party administrator
• Review claims data and conduct analysis to look for patterns of potential improper payments
• Utilize information from claims data analysis, plan members, and other sources to conduct confidential claims data reviews, relevant investigative activities, document actionable findings and report any suspect billing that could result in an overpayment through designated channels
• Conduct data analysis to review claim and case history
• Review claims history, provider files, etc. and utilize data analysis techniques to detect irregularities, billing trends, and financial relationships using state boards, licensing sites, Secretary of State sites, etc.
• Identify and resolve issues related to data discrepancies, missing data, or inconsistencies within clinical datasets