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Job Summary:
We are seeking a highly skilled and experienced Senior Director of Account Management and Analytics Advisor to work with large, self-insured employers, focusing on the delivery of high-quality healthcare data analytics solutions. The ideal candidate will have a strong background in healthcare analytics and a proven ability to translate complex, data-driven insights into actionable strategies and clear, digestible content for both analytical and non-analytical stakeholders. This role will involve leading client relationships, managing internal resources toward timely deliverables and ensuring the effective utilization of analytics to drive value and client satisfaction.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. 

Key Responsibilities:
Account Management:

• 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
• Develop and maintain strong, strategic client relationships by understanding their business challenges and objectives, demonstrating exceptional problem-solving skills
• 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
• Become fluent in healthcare claims data as relevant to company’s specific use case
• Nurture client relationships from infancy and throughout business relationship, including managing implementation process as needed
• Collaborate with new clients and their respective carrier(s)/data warehouse/PBM/other external constituents on all necessary documentation and other items in order to intake high-quality claims and health plan data

Data Analytics & Insights:

• Utilize advanced analytics tools and techniques to create insights that inform decision-making, cost-saving strategies and enhanced plan management
• Collaborate with internal teams to ensure the timely and successful delivery of data analytics solutions and insights
• Review client feedback and performance metrics to ensure solutions meet or exceed expectations
• Identify business enhancement opportunities that align with client needs and objectives
• Partner with the sales and solutions teams to develop strategic plans that address client goals
• Plan and lead client update presentations as well as ad hoc client meetings and written communications
• Assist the team in developing marketing initiatives, increasing business success and enhancing sales

Communication & Reporting:

• Translate complex data and analytical insights into clear, actionable reports and presentations for non-technical stakeholders
• Develop and deliver regular client-facing reports and presentations that highlight key performance metrics, trends and opportunities
• Explain technical concepts in a simple, understandable manner for benefits leaders, client executives and other decision-makers with limited technical expertise

Project Management:

• Coordinate internal resources and timelines to ensure smooth implementation and delivery of projects
• Troubleshoot client issues in a timely and proactive manner, ensuring client satisfaction
• Monitor key performance indicators (KPIs) to track the success of initiatives and client satisfaction
• Delegating tasks effectively and managing team dynamics

Team Collaboration:

• Work closely with cross-functional teams such as data scientists, project managers and consultants to deliver cohesive client solutions
• Contribute to team-wide best practices, sharing insights and strategies to enhance client success
• Develop and maintain strong executive relationships

Qualifications:

Education:

• Bachelor’s degree in business, marketing, economics, data analytics or a related field
• Master’s degree is preferred but not required

Experience:

• 5–8 years of experience in account management, client success or related roles within data analytics, technology, or consulting environments
• 4 years of experience in healthcare data analytics
• Proven experience managing senior-level client relationships and negotiating contracts or agreements

Skills and Competencies:

• Exceptional interpersonal and communication skills with the ability to understand and communicate technical insights to non-technical audiences in a tailored and thoughtful manner
• Ability to thrive in a fast-paced and lightly structured environment
• Hands-on, doer mindset
• Highly collaborative, team-focused, open communication and candid work style
• Strong problem-solving and strategic planning abilities
• Ability to break down complex problems into manageable components
• Identifying trends, patterns, and key insights in data
• Developing actionable recommendations based on data analysis
• Understanding data analytics concepts, tools and methodologies, with the ability to translate insights into client strategy
• Proven ability to lead and manage projects independently
• Experience in managing deliverables within deadlines

Preferred Knowledge:

• Strong existing relationships within jumbo self-insured plan sponsor community
• Procurement/medical ASA and/or PBM contract negotiation experience
• Familiarity with benefit analytics, data warehousing and claims data files
• Exposure to statistical methods, data modeling, or machine learning insights and how they inform business decisions
• Macro business knowledge of channels/industries relevant to the company’s client base (e.g. public sector, finance, healthcare, retail, technology, Taft-Hartley, etc.) 

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Job Summary
The Senior SQL Server Data Engineer plays a crucial role in maintaining and optimizing our legacy data systems while supporting the organization’s migration to a modern data warehouse architecture. This position focuses on enhancing complex ETL processes built on SQL Server stored procedures, implementing robust data validation protocols for medical claims processing and mentoring junior team members. The ideal candidate brings extensive experience in SQL Server development with specific expertise in healthcare data processing, with the ability to bridge the gap between our legacy systems and future state architecture.
We are seeking a highly skilled Senior SQL Server Data Engineer to join our dynamic team. The ideal candidate will have significant experience working with complex SQL Server environments, ETL processes and stored procedure optimization. They should demonstrate expertise in data quality assurance and validation, along with a solid understanding of healthcare claims processing. Proficiency in T-SQL, performance tuning and data pipeline development is essential. In this role, you will play a pivotal part in ensuring the stability of our current operations while facilitating a smooth transition to our new data architecture.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Key Responsibilities

• Lead and enhance complex ETL processes built on SQL Server stored procedures
• Audit, optimize, and refactor existing data pipelines for performance and reliability
• Implement data validation protocols to ensure accuracy of medical claims processing
• Troubleshoot and resolve complex data issues in production environments
• Establish and enforce robust data validation standards for healthcare data processing
• Create systematic approaches to file specification validation and conformance checking
• Implement auditable processes for data quality assurance in a healthcare environment
• Ensure data handling meets relevant healthcare compliance standards
• Provide hands-on mentoring to junior team members
• Create documentation and knowledge transfer sessions on SQL Server best practices
• Establish coding standards and review processes for the legacy systems
• Collaborate with the migration team to ensure smooth transition to the new architecture
• Build reusable templates and frameworks to improve team productivity

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 8+ years of experience with SQL Server and T-SQL development
• 5+ years specifically focused on ETL processes and data pipeline development
• Extensive experience with stored procedure optimization and complex query tuning
• Strong experience with database performance testing, optimization, and troubleshooting
• Demonstrated ability to mentor junior developers and improve team capabilities
• Experience with JIRA and agile project management tools
• Excellent problem-solving and analytical skills
• Outstanding communication and collaboration abilities

Preferred Qualifications

• Experience with healthcare claims processing and related data structures
• Knowledge of healthcare data and HIPAA compliance requirements
• Understanding of modern data warehouse architectures
• Experience transitioning from legacy to modern data systems
• Knowledge of data governance in regulated environments
• Experience implementing automated testing for database code
• Previous team leadership experience
• Healthcare analytics industry experience

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Job Summary:

SmartLight Analytics is a growth-oriented, rapidly scaling healthcare analytics software business. We are looking for a dynamic and experienced Vice President of Operations to lead our operational efforts and scale our innovative analytics-driven solution. This hands-on leadership position requires a proactive, results-oriented approach to managing and enhancing our operations.

Position Overview:

As the VP of Operations, you will be responsible for overseeing the daily operations, strategic planning and execution of business processes within our organization. You will play a critical role in managing and optimizing operational efficiency, fostering innovation, aligning data analytics initiatives with business goals and ensuring that we continuously deliver high-quality products to our clients. This is a leadership role that requires a strategic thinker with a strong background in operations and data-driven processes. Your primary responsibilities will be to identify and address operational bottlenecks to growth through innovation.

Key Responsibilities:
Strategic Leadership:

• Develop and implement the operational strategy to support company growth, leveraging state-of-the-art technologies and data analytics processes
• Work closely with the executive leadership team to ensure alignment of operational goals with the company’s overall vision
• Identify opportunities for process improvement, cost reduction, and efficiency optimization across the organization
•  

Operational Management:

• Oversee day-to-day operations, including resource allocation, project management and ensuring smooth execution of data analytics services.
• Lead and scale operational teams to ensure effective deployment of data analytics and solutions for clientS
• Collaborate with technical teams (data scientists, engineers) to ensure that statistical models, algorithms and data workflows are aligned with operational objectives
•  

Data Analytics Integration:

• Drive the integration of machine learning models into the company’s operational processes to enhance data-driven decision-making and improve business outcomes.
• Evaluate and implement tools, technologies, and platforms to enhance the company’s operational capabilities.
• Ensure the quality, accuracy, and security of the data used in operational processes.
•  

Team Leadership and Development:

• Build, mentor, and lead a high-performing operations team, including clinical operations managers, quality managers and project managers.
• Foster a collaborative and innovative environment where teams can thrive in leveraging AI for operational improvements.
• Set clear goals, monitor performance, and provide ongoing training and development to team members.
•  

Client and Stakeholder Engagement:

• Maintain strong relationships with key clients, ensuring that operational delivery meets expectations and drives client satisfaction.
• Collaborate with sales and business development teams to support client acquisition and retention through operational excellence and data insights.
• Communicate operational performance and deliverables to senior leadership and key stakeholders.
•  

Financial Oversight and Reporting:

• Track and analyze key performance metrics to identify areas for improvement and ensure the teams are meeting or exceeding targets.
• Provide regular performance reports to the executive team, identifying key metrics, milestones and areas for improvement.
•  

Continuous Improvement and Innovation:

• Stay up-to-date with the latest advancements in operations management.
• Lead the adoption of best practices and innovation in operational processes to maintain a competitive edge in the data-driven healthcare analytics industry.
•  

Who will be successful in this role:

• Demonstrated experience in fast-growing startups
• Demonstrate a strong ability to analyze metrics and data to assess their impact
• Experience with interacting with and presenting to the C-Suite and fortune 500 clients
• Project management and change management experience
• Comfortable with data-driven decision making
• Experience with both directly managing a team and leading other managers
• Healthcare claims data knowledge and experience preferred
• Comfortable with a variety of tasks and evolving responsibilities
• Strong critical thinking abilities
• Excellent communication and interpersonal skills

Qualifications:

• Bachelor’s degree in Data Science, Mathematics, Engineering, Computer Science, or a related quantitative-based field
• Master’s degree highly preferred
• 10+ years of progressive experience in operations management, technology or data analytics with 6 years in the healthcare data space required
• Proven track record in leading operations for a rapidly growing organization

Skills:

• Strong leadership and management skills, with experience in scaling teams and operations
• Excellent strategic thinking, problem-solving and decision-making abilities
• Exceptional communication and interpersonal skills to collaborate with internal teams and external stakeholders
• Experience with operational tools and software for data management, project tracking and AI implementation
• Ability to navigate and lead in a fast-paced, technology-driven environment

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