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

Alera Group•UNAVAILABLE, UNAVAILABLE

18h•Remote

About The Position

Vital Incite, Alera Group’s population health analytics and consulting division, is seeking a Senior Vice President of Technology to lead its technology, data, and artificial intelligence strategy. The role establishes and executes an integrated technology vision spanning software engineering, data enablement, analytics, data integration, infrastructure, security, and emerging technology. It owns and maintains the target-state technology and data architecture, including legacy-platform modernization, integration patterns, cloud strategy, APIs, data platforms, AI services, and technical-debt reduction. The position directly leads the Director of Engineering, the VP of Analytics and Data Enablement, and the Senior Data and AI Engineer, while providing executive leadership to the broader technology team. The leader balances innovation with operational excellence to deliver secure, reliable, scalable, high-quality solutions and develop capabilities that improve data quality, accelerate insight generation, reduce manual effort, and increase value to clients. This includes aligning technology and data roadmaps with organizational priorities; guiding responsible, practical AI adoption; supporting product and technology evolution; and maintaining accountability for operational reliability, security, privacy, governance, budgets, staffing, and vendors. The role is remote, with travel of less than 5% to the Indianapolis main office or to finalist meetings if needed. The salary range is $225,000–$250,000 annually, and the position is bonus eligible.

Requirements

Bachelor of Science in Engineering, Information Systems, Computer Science, or a related field.
Significant leadership experience across technology, engineering, data, analytics, or related functions, including leadership of technical leaders or multiple disciplines.
Demonstrated experience developing technology strategies and roadmaps, prioritizing investments, planning staffing, managing budgets, and leading organizational or technical change.
Strong understanding of enterprise data architecture, integration, data 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 understanding of responsible AI and human oversight.
Ability to communicate complex technical concepts, risks, and investment recommendations to executive and nontechnical audiences.

Nice To Haves

Experience with healthcare data, population health analytics, employer-sponsored health plans, medical and pharmacy claims, HIPAA, or PHI is strongly preferred.

Responsibilities

Develop and execute an integrated target-state technology roadmap and data architecture aligned with Vital Incite’s mission, growth priorities, client needs, and long-term objectives.
Lead a data-aware operating model that accounts for data quality, relationships, limitations, intended use, measurable outcomes, and downstream impact in technology decisions.
Establish prioritized technology and emerging-capability roadmaps with defined outcomes, ownership, resources, risks, and success measures; advise the Leadership Team on opportunities, investments, dependencies, tradeoffs, and risks.
Determine whether business needs are best addressed through traditional development, configurable platforms, automation, advanced analytics, machine learning, or AI, and apply a disciplined build-versus-buy framework.
Create shared accountability across engineering, analytics, and data enablement for data quality, integrity, availability, lineage, usability, and appropriate application.
Promote trusted, explainable, consistent solutions and reusable architecture, data services, APIs, automation, shared components, and configurable capabilities that reduce manual work and unnecessary custom development.
Prioritize practical AI use cases based on business value, feasibility, data readiness, security, accuracy, and human-review needs; provide executive direction for AI and automation capabilities.
Establish responsible AI standards, 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.
Directly lead, coach, and hold accountable the Director of Engineering, VP of Analytics and Data Enablement, and Senior Data and AI Engineer.
Align engineering, analytics, data enablement, data integration, infrastructure, security, and AI through shared priorities, decision rights, handoffs, and performance expectations.
Prioritize work according to client and organizational value, strategic alignment, risk, dependencies, and available capacity; develop staffing and capability plans for current and future needs.
Build a culture of evidence-based decision-making, responsible experimentation, direct communication, continuous learning, accountability, and high-quality execution.
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 integration of new capabilities into existing operations while minimizing disruption to clients, users, and production systems; use product, operational, adoption, and stakeholder data to guide continuous improvement.
Maintain accountability for 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, considering strategic fit, interoperability, security, scalability, total cost of ownership, value, contractual risk, and 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 operates within appropriate legal, contractual, ethical, privacy, and security boundaries.