Senior Vice President of Technology - Data Analytics and Population Health Consulting

OVERVIEW

Vital Incite, an Alera Group Company, is searching for a Senior Vice President of Technology - Data Analytics and Population Health Consulting to join their team! 

Vital Incite is Alera Group’s population health analytics and consulting division, helping employers and advisors turn complex healthcare data into actionable insights. The team integrates medical, pharmacy, clinical, and other health data to identify cost drivers, improve health outcomes, evaluate program performance, and guide benefits strategy.

About Alera Group

Founded in 2017, Alera Group is one of the nation's leading independent insurance and financial services firms. We combine the strength of a national organization with the personalized service of local experts to help clients succeed across Employee Benefits, Property & Casualty Insurance, Retirement Plan Services, Wealth Services, and Human Capital Solutions.

Why Join Alera Group?

• Collaborate with purpose – Work alongside colleagues who believe the best results come from strong partnerships, shared expertise, and supporting one another.
• Build your career – Expand your expertise through meaningful work, continuous learning, and opportunities to grow across a national organization.
• Make an impact – Help clients navigate complex challenges while contributing to solutions that make a difference for their businesses, employees, and communities.

The Opportunity

The Senior Vice President of Technology - Data Analytics and Population Health Consulting is a key member of the Vital Incite Leadership Team responsible for establishing and executing the organization’s technology, data, and artificial intelligence strategy. This leader will be responsible for creating an integrated technology vision across software engineering, data enablement, analytics, data integration, infrastructure, security, and emerging technology.  This leader would own and maintain Vital Incite's target-state technology and data architecture, including modernization of legacy platforms, integration patterns, cloud strategy, APIs, data platforms, AI services, and technical-debt reduction. They will directly lead the Director of Engineering, the VP of Analytics and Data Enablement, Senior Data and AI Engineer and provide executive leadership for the broader technology team, establishing shared priorities and accountability across these functions.

The Senior Vice President of Technology - Data Analytics and Population Health Consulting will balance innovation with operational excellence, ensuring that Vital Incite continues to deliver secure, reliable, scalable, and high-quality solutions while developing new capabilities that improve data quality, accelerate insight generation, reduce manual effort, and strengthen the value delivered to clients.

RESPONSIBILITIES

Technology, Data, and AI Strategy

• Develop and execute an integrated target-state technology roadmap, data architecture, including modernization of legacy platforms, integration patterns, cloud strategy, APIs, Data platforms, and AI services and strategy aligned with Vital Incite’s mission, growth priorities, client needs, and long-term objectives.
• Lead the shift to a data-aware operating model in which technology decisions consider data quality, relationships, limitations, intended use, measurable outcomes, and downstream impact.
• Establish prioritized roadmaps for technology and emerging capabilities, with clear outcomes, ownership, resource requirements, risks, and measures of success
• Advise the Leadership Team on technology opportunities, investments, dependencies, tradeoffs, and risks.
• Determine when business needs are best addressed through traditional development, configurable platforms, automation, advanced analytics, machine learning, or AI.
• Establish and apply a disciplined build-versus-buy framework for technology, data, automation, and AI capabilities, considering strategic fit, speed to value, total cost of ownership, interoperability, security, scalability, vendor dependency, and long-term maintainability.

Data-Aware, AI Enabled Solutions

• Create shared accountability across engineering, analytics, and data enablement for data quality, integrity, availability, lineage, usability, and appropriate application.
• Ensure products and capabilities are designed with a clear understanding of their underlying data and support trusted, explainable, and consistent outputs.
• Promote reusable architecture, data services, APIs, automation, shared components, and configurable solutions that reduce manual work and unnecessary custom development.
• Prioritize practical AI use cases based on business value, feasibility, data readiness, security, accuracy, and the need for human review.
• Provide executive direction for capabilities such as automated data validation, anomaly detection, file mapping, report analysis, signal discovery, predictive analytics, insight generation, and intelligent workflow automation.
• Establish standards for responsible AI, including testing, traceability, auditability, human oversight, ongoing monitoring, and protection of PHI and other sensitive information.
• Establish and monitor AI and cloud cost governance, including model usage, token consumption, inference costs, vendor spend, unit economics, and budget thresholds. Ensure AI solutions are architected for cost efficiency, scalability, and measurable business value.

Integrated Technology Leadership

• Directly lead, coach, and hold accountable the Director of Engineering, VP of Analytics and Data Enablement and Senior Data & AI Engineer.
• Align engineering, analytics, data enablement, data integration, infrastructure, security, and AI through shared priorities, decision rights, handoffs, and performance expectations.
• Prioritize work based on client and organizational value, strategic alignment, risk, dependencies, and available capacity.
• Develop staffing and capability plans that support current operations and future needs across engineering, data, analytics, AI, security, and product support.
• Build a culture of evidence-based decision-making, responsible experimentation, direct communication, continuous learning, accountability, and high-quality execution.

Product and Technology Evolution

• Partner with business leaders, client-facing teams, clinical experts, analysts, and other stakeholders to translate business objectives and user needs into scalable technology priorities.
• Ensure product requirements define intended outcomes, use cases, data relationships, success measures, and material risks before development begins.
• Oversee the responsible integration of new capabilities into existing operations while minimizing disruption to clients, users, and production systems.
• Use product, operational, adoption, and stakeholder data to evaluate performance, identify recurring issues, and guide continuous improvement.

Operational Excellence, Security, and Governance

• Maintain accountability for the reliability, availability, performance, and scalability of technology operations, infrastructure, software platforms, data pipelines, development environments, and production publishing processes.
• Establish disciplined practices for architecture, development, testing, validation, deployment, documentation, change management, monitoring, exception handling, and root-cause resolution.
• Develop and manage technology budgets, staffing investments, and third-party platforms and vendors based on strategic fit, interoperability, security, scalability, total cost of ownership, measurable value, contractual risk and ongoing performance.
• Maintain executive accountability for technology security, data privacy, system controls, auditability, and responsible use of data and AI.
• Ensure appropriate security standards and certifications are maintained, including SOC 2 Type 2 requirements and applicable HIPAA considerations, and oversee client and third-party security reviews.
• Ensure innovation occurs within appropriate legal, contractual, ethical, privacy, and security boundaries.

QUALIFICATIONS

• Education:
  • BS in Engineering, Information Systems, Computer Science, or related field.
• Experience:
  • Significant leadership experience across technology, engineering, data, analytics, or related functions, including leading technical leaders or multiple disciplines.
  • Demonstrated experience developing technology strategies, establishing roadmaps, prioritizing investments, planning staffing, managing budgets, and leading organizational or technical change.
  • Strong understanding of enterprise data architecture, integration, quality, warehouses, ETL, analytics, reporting, visualization, infrastructure, and security.
  • Experience with modern software development practices, including SDLC, source control, release management, multiple environments, automated testing, and CI/CD.
  • Experience evaluating and applying AI, machine learning, automation, or other emerging technologies to business and data workflows, with an understanding of responsible AI and human oversight.
  • Ability to communicate complex technical concepts, risks, and investment recommendations to executive and nontechnical audiences.
  • Experience with healthcare data, population health analytics, employer-sponsored health plans, medical and pharmacy claims, HIPAA, or PHI strongly preferred.

Compensation

• Salary Range: $225,000–$250,000 annually
• Bonus Eligible: Yes

Benefits

Eligible colleagues enjoy a comprehensive benefits package that includes:

• Medical, dental, and vision insurance
• Life and disability coverage
• 401(k)
• Generous paid time off
• Professional development opportunities

ADDITIONAL INFORMATION

Work Arrangement

This position is Remote.

Travel Requirements: <5% to the main office in Indianapolis or to finalist meetings if needed. 

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other protected class.

Alera Group is committed to protecting your privacy. Please review our Privacy Policy to understand what personal information we may collect and use as part of your application process.

#LI-KB1

#LI-Nationwide 

Location Type
Remote

Technology, Data, and AI Strategy

• Develop and execute an integrated target-state technology roadmap, data architecture, including modernization of legacy platforms, integration patterns, cloud strategy, APIs, Data platforms, and AI services and strategy aligned with Vital Incite’s mission, growth priorities, client needs, and long-term objectives.
• Lead the shift to a data-aware operating model in which technology decisions consider data quality, relationships, limitations, intended use, measurable outcomes, and downstream impact.
• Establish prioritized roadmaps for technology and emerging capabilities, with clear outcomes, ownership, resource requirements, risks, and measures of success
• Advise the Leadership Team on technology opportunities, investments, dependencies, tradeoffs, and risks.
• Determine when business needs are best addressed through traditional development, configurable platforms, automation, advanced analytics, machine learning, or AI.
• Establish and apply a disciplined build-versus-buy framework for technology, data, automation, and AI capabilities, considering strategic fit, speed to value, total cost of ownership, interoperability, security, scalability, vendor dependency, and long-term maintainability.

Data-Aware, AI Enabled Solutions

• Create shared accountability across engineering, analytics, and data enablement for data quality, integrity, availability, lineage, usability, and appropriate application.
• Ensure products and capabilities are designed with a clear understanding of their underlying data and support trusted, explainable, and consistent outputs.
• Promote reusable architecture, data services, APIs, automation, shared components, and configurable solutions that reduce manual work and unnecessary custom development.
• Prioritize practical AI use cases based on business value, feasibility, data readiness, security, accuracy, and the need for human review.
• Provide executive direction for capabilities such as automated data validation, anomaly detection, file mapping, report analysis, signal discovery, predictive analytics, insight generation, and intelligent workflow automation.
• Establish standards for responsible AI, including testing, traceability, auditability, human oversight, ongoing monitoring, and protection of PHI and other sensitive information.
• Establish and monitor AI and cloud cost governance, including model usage, token consumption, inference costs, vendor spend, unit economics, and budget thresholds. Ensure AI solutions are architected for cost efficiency, scalability, and measurable business value.

Integrated Technology Leadership

• Directly lead, coach, and hold accountable the Director of Engineering, VP of Analytics and Data Enablement and Senior Data & AI Engineer.
• Align engineering, analytics, data enablement, data integration, infrastructure, security, and AI through shared priorities, decision rights, handoffs, and performance expectations.
• Prioritize work based on client and organizational value, strategic alignment, risk, dependencies, and available capacity.
• Develop staffing and capability plans that support current operations and future needs across engineering, data, analytics, AI, security, and product support.
• Build a culture of evidence-based decision-making, responsible experimentation, direct communication, continuous learning, accountability, and high-quality execution.

Product and Technology Evolution

• Partner with business leaders, client-facing teams, clinical experts, analysts, and other stakeholders to translate business objectives and user needs into scalable technology priorities.
• Ensure product requirements define intended outcomes, use cases, data relationships, success measures, and material risks before development begins.
• Oversee the responsible integration of new capabilities into existing operations while minimizing disruption to clients, users, and production systems.
• Use product, operational, adoption, and stakeholder data to evaluate performance, identify recurring issues, and guide continuous improvement.

Operational Excellence, Security, and Governance

• Maintain accountability for the reliability, availability, performance, and scalability of technology operations, infrastructure, software platforms, data pipelines, development environments, and production publishing processes.
• Establish disciplined practices for architecture, development, testing, validation, deployment, documentation, change management, monitoring, exception handling, and root-cause resolution.
• Develop and manage technology budgets, staffing investments, and third-party platforms and vendors based on strategic fit, interoperability, security, scalability, total cost of ownership, measurable value, contractual risk and ongoing performance.
• Maintain executive accountability for technology security, data privacy, system controls, auditability, and responsible use of data and AI.
• Ensure appropriate security standards and certifications are maintained, including SOC 2 Type 2 requirements and applicable HIPAA considerations, and oversee client and third-party security reviews.
• Ensure innovation occurs within appropriate legal, contractual, ethical, privacy, and security boundaries.

• Education:
  • BS in Engineering, Information Systems, Computer Science, or related field.
• Experience:
  • Significant leadership experience across technology, engineering, data, analytics, or related functions, including leading technical leaders or multiple disciplines.
  • Demonstrated experience developing technology strategies, establishing roadmaps, prioritizing investments, planning staffing, managing budgets, and leading organizational or technical change.
  • Strong understanding of enterprise data architecture, integration, quality, warehouses, ETL, analytics, reporting, visualization, infrastructure, and security.
  • Experience with modern software development practices, including SDLC, source control, release management, multiple environments, automated testing, and CI/CD.
  • Experience evaluating and applying AI, machine learning, automation, or other emerging technologies to business and data workflows, with an understanding of responsible AI and human oversight.
  • Ability to communicate complex technical concepts, risks, and investment recommendations to executive and nontechnical audiences.
  • Experience with healthcare data, population health analytics, employer-sponsored health plans, medical and pharmacy claims, HIPAA, or PHI strongly preferred.

Compensation

• Salary Range: $225,000–$250,000 annually
• Bonus Eligible: Yes

Benefits

Eligible colleagues enjoy a comprehensive benefits package that includes:

• Medical, dental, and vision insurance
• Life and disability coverage
• 401(k)
• Generous paid time off
• Professional development opportunities