Vice President of Product Strategy & Execution, AI

📍 Job Overview

Job Title: Vice President of Product Strategy & Execution, AI Health Cloud

Company: BrightSpring Health Services

Location: Louisville, KY, USA

Job Type: Full-Time

Category: Product Management / AI Strategy

Date Posted: April 16, 2026

Experience Level: 15+ years

🚀 Role Summary

• Spearhead the strategic direction and execution of an AI-enabled Health Cloud Platform, focusing on both platform capabilities and AI-powered healthcare solutions.

• Drive product strategy and roadmap development for AI/ML initiatives, ensuring alignment with critical business objectives and clinical needs within the healthcare and pharmacy sectors.

• Lead global process re-engineering efforts to optimize workflows and enhance the delivery of cutting-edge AI-driven healthcare solutions.

• Manage and mentor a high-performing team of Global Process/Product Owners and Technical Program Managers, fostering a culture of agility and accountability.

📈 Primary Responsibilities

• Define and own the comprehensive AI/ML product strategy and roadmap, encompassing both platform functionalities and specific solution domains.

• Lead cross-functional teams in gathering and refining product requirements from diverse stakeholders, including internal users, end-users, and external partners.

• Drive significant global process re-engineering initiatives to streamline operations and optimize the deployment of AI in healthcare.

• Prioritize product initiatives rigorously based on strategic impact, technical feasibility, and alignment with overarching business goals, balancing immediate needs with long-term platform vision.

• Ensure the successful and timely execution of the product roadmap, delivering key milestones with high quality and maintaining strong stakeholder alignment.

• Foster close collaboration with engineering, architecture, and data science teams to guarantee platform capabilities effectively support solution requirements and are built for scalability.

• Guide the practical integration of Generative AI, Agentic AI, RPA, and RAG-based systems into complex healthcare workflows, ensuring practical application and value realization.

• Establish, monitor, and manage key performance indicators (KPIs), objectives, and key results (OKRs) to track product performance and drive continuous improvement cycles.

🎓 Skills & Qualifications

Education: MBA, MS, or PhD in a relevant field (e.g., Product Management, Computer Science, AI/ML, Health Informatics) is preferred.

Experience: 15+ years of progressive experience in program management, process innovation, and product leadership, with a demonstrated track record of developing robust product operating models.

Required Skills:

• Proven success in delivering complex healthcare or pharmacy products within a regulated environment.

• Extensive experience managing the development of platform products (e.g., APIs, services, developer tools) and the delivery of end-user solutions (e.g., clinical workflows, pharmacy automation).

• Deep understanding and practical experience with cloud-native platforms, CI/CD/DevOps pipelines, and managing cross-functional agile teams.

• Strong experience with multi-agent systems, Robotic Process Automation (RPA) tools, and intelligent automation specifically applied within the healthcare sector.

• Exceptional stakeholder engagement, strategic planning, and cross-functional leadership capabilities.

• Solid proficiency with healthcare data standards such as FHIR, HL7, RxNorm, and SNOMED CT, alongside a strong understanding of compliance frameworks like HIPAA and HITRUST.

Preferred Skills:

• Familiarity with responsible AI practices, including model explainability and human-centered product development methodologies.

• Experience in developing and managing product operating models.

📝 Enhancement Note: The job description emphasizes a blend of strategic product leadership and hands-on execution, particularly in AI and healthcare domains. The "15+ years" experience requirement suggests a senior leadership role, likely reporting to a C-suite executive. The emphasis on regulated environments and specific healthcare data standards indicates a need for deep domain expertise beyond general product management.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a track record of successfully launching and scaling complex AI-powered products or platforms, with clear evidence of process optimization and measurable business impact.

• Showcase case studies detailing the re-engineering of global processes to improve efficiency, reduce costs, or enhance outcomes within healthcare or a similarly regulated industry.

• Provide examples of how you've integrated AI technologies (LLMs, RPA, Agentic AI) into existing systems or developed new ones, highlighting technical architecture and deployment strategies.

Process Documentation:

• Documented examples of creating and implementing standardized workflows for product development, particularly within an AI/ML context.

• Evidence of developing and managing processes for gathering and refining product requirements from diverse stakeholder groups.

• Demonstrated ability to establish and track KPIs/OKRs for product performance, showcasing data-driven decision-making and continuous improvement methodologies.

📝 Enhancement Note: For a VP-level role, the portfolio should emphasize strategic impact, leadership, and the ability to drive large-scale process transformation. Candidates should be prepared to discuss the strategic rationale behind their decisions, the methodologies employed for process re-engineering, and the quantifiable outcomes achieved.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Vice President of Product Strategy & Execution in AI within the healthcare sector in Louisville, KY, the estimated annual salary range is between $220,000 - $300,000. This estimate considers the extensive experience required (15+ years), the specialized AI and healthcare domain knowledge, and the leadership responsibilities involved. Factors such as specific qualifications, performance during the interview process, and the company's compensation philosophy will influence the final offer.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Generous paid time off (PTO) and holiday schedule.

• Retirement savings plan with company match (e.g., 401(k)).

• Life insurance and disability coverage.

• Professional development opportunities, including training, conferences, and potential for advanced degrees.

• Potential for performance-based bonuses and equity options.

Working Hours: Standard full-time hours are expected, typically around 40 hours per week. However, given the senior leadership nature of this role and the demands of executing a product roadmap, flexibility and a willingness to work beyond standard hours may be necessary, especially during critical project phases or to meet stakeholder needs. Travel up to 25% is anticipated.

📝 Enhancement Note: Salary is estimated based on industry data for similar senior product leadership roles in AI/Tech within the healthcare sector in a mid-sized US metropolitan area. Benefits are typical for a full-time executive position at a large healthcare services company.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Services, specializing in home- and community-based pharmacy and provider health solutions for complex populations. BrightSpring aims to provide integrated care, improve health outcomes, and reduce healthcare system costs.

Company Size: BrightSpring Health Services is a large organization, serving over 450,000 customers, clients, and patients daily across all 50 states. This scale suggests a complex operational environment with significant opportunities for impact.

Founded: While the exact founding date isn't provided, the company's established presence and broad service offering indicate a mature organization with a history of growth and adaptation within the healthcare landscape.

Team Structure:

• The AI Product team is likely structured to support both core platform development and specialized AI-driven solutions within the healthcare and pharmacy domains.

• This role will manage Global Process/Product Owners and Technical Program Managers, indicating a matrixed structure where individuals may have dual reporting lines or work across different functional areas.

Methodology:

• A strong emphasis on data-driven decision-making is expected, with the use of KPIs and OKRs to measure success.

• Agile methodologies will be central to product development and execution, requiring adaptability and iterative progress.

• Process re-engineering will be a key methodology for optimizing workflows and integrating new AI technologies effectively.

• A focus on responsible AI and human-centered design will guide the development and deployment of solutions.

Company Website: www.brightspringhealth.com

📝 Enhancement Note: The company's focus on complex populations and integrated care suggests a mission-driven culture. The AI Product team will operate at the forefront of innovation within this context, requiring a balance of technical expertise and a deep understanding of healthcare needs and regulations.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Vice President level, signifying senior executive leadership within the product organization. It involves setting strategic direction, managing significant P&L impact (indirectly through product success), and influencing organizational priorities related to AI and digital transformation. The scope extends to global operations and requires a blend of technical acumen in AI and deep understanding of healthcare operations.

Reporting Structure: The VP of Product Strategy & Execution, AI Health Cloud will likely report to a Chief Product Officer (CPO), Chief Information Officer (CIO), Chief Technology Officer (CTO), or potentially a Chief Strategy Officer, depending on the specific organizational structure at BrightSpring.

Operations Impact: This role has a direct and profound impact on BrightSpring's ability to innovate and achieve its mission. By leading the AI Health Cloud Platform, the VP will drive efficiency, improve patient outcomes, enhance the quality of care, and potentially unlock new revenue streams through advanced AI solutions. Success in this role directly contributes to the company's competitive advantage and its ability to navigate the evolving healthcare landscape.

Growth Opportunities:

• Leadership Expansion: Potential to grow into a CPO or CTO role, or lead larger, more encompassing product divisions as the company's AI initiatives mature.

• Strategic Influence: Opportunity to shape the long-term technological vision and competitive strategy of BrightSpring Health Services.

• Domain Specialization: Deepen expertise in AI applications within healthcare, becoming a recognized thought leader in the industry.

• Cross-Functional Leadership: Develop broader executive leadership skills by engaging with various business units and executive stakeholders across the organization.

📝 Enhancement Note: As a VP role, the focus is on strategic leadership, organizational impact, and career trajectory toward the highest levels of executive management. Growth opportunities will involve expanding scope, increasing strategic influence, and potentially moving into broader technology or business leadership roles.

🌐 Work Environment

Office Type: This role is based in Louisville, KY, and is designated as on-site. This suggests a traditional office environment within BrightSpring's corporate facilities.

Office Location(s): Louisville, KY (ZIP code 40222). This location is in Jefferson County.

Workspace Context:

• The workspace will likely be a professional office setting equipped with the necessary technology for executive-level work, including high-speed internet, communication tools, and access to relevant software.

• Collaboration will be a key aspect, involving both in-person meetings with local teams and virtual interactions with global teams.

• Access to data science, engineering, and architecture resources will be crucial for the successful execution of product strategies.

Work Schedule: The role is full-time (40 hours/week), but senior leadership often requires a flexible schedule to accommodate project demands, stakeholder meetings, and travel. The expectation is for dedicated commitment to achieving strategic objectives.

📝 Enhancement Note: The on-site requirement in Louisville, KY, indicates a need for candidates willing to relocate or already based in the area. The emphasis on collaboration suggests an environment where team interaction and cross-functional communication are highly valued.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter screen to assess basic qualifications, alignment with role requirements, and cultural fit.

• Hiring Manager Interview: In-depth discussion with the hiring manager (likely a CPO, CIO, or CTO) focusing on strategic vision, leadership experience, and depth of AI/healthcare expertise.

• Team Interviews: Meetings with key stakeholders, including direct reports (Product Owners, TPMs), peers in engineering and data science, and potentially senior business leaders. These sessions will assess collaboration style, technical understanding, and ability to drive execution.

• Executive Presentation/Case Study: A significant component will likely involve a presentation to senior leadership (e.g., C-suite) on a strategic topic, such as a proposed AI product roadmap, a process re-engineering plan, or a response to a complex business challenge. This will evaluate strategic thinking, communication skills, and impact.

• Final Interview: Potential final round with a top executive to confirm fit and discuss offer terms.

Portfolio Review Tips:

• Strategic Narrative: Frame your portfolio around strategic impact and leadership. For each project, clearly articulate the business problem, your strategic approach, the AI/process innovations employed, and the quantifiable results (e.g., ROI, efficiency gains, improved patient outcomes).

• AI & Healthcare Depth: Showcase specific examples of how you've leveraged AI (LLMs, RAG, Agentic AI, RPA) in healthcare contexts, demonstrating understanding of regulatory compliance (HIPAA) and data standards (FHIR, HL7).

• Process Re-engineering: Detail your methodology for global process re-engineering, highlighting how you identified inefficiencies, designed optimized workflows, and managed change to ensure successful adoption.

• Platform vs. Solution: Clearly differentiate and showcase experience in both platform development (APIs, services) and solution delivery (clinical workflows, automation).

• Leadership & Team Management: Include examples of how you have built, led, and mentored high-performing product and program management teams.

Challenge Preparation:

• Scenario-Based: Be prepared for scenario-based questions related to managing competing priorities, resolving technical roadblocks, influencing stakeholders, and adapting to evolving AI landscapes.

• Strategic Frameworks: Think about common strategic frameworks and how you would apply them to AI product development in healthcare.

• AI Trend Awareness: Stay current on the latest advancements in AI, particularly in healthcare, and be ready to discuss their implications and potential applications for BrightSpring.

• Communication Clarity: Practice articulating complex technical and strategic concepts clearly and concisely, tailoring your message to different audiences.

📝 Enhancement Note: The interview process for a VP role is rigorous and designed to assess strategic leadership, deep domain expertise, and executive presence. A well-curated portfolio that demonstrates tangible impact and strategic thinking will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools like Jira, Confluence, Aha!, Productboard for roadmap planning, backlog management, and requirements documentation.

• AI/ML Development & Deployment: Experience with cloud-native AI/ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform), MLOps tools, and associated infrastructure.

• Automation Tools: Proficiency with RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism) and intelligent automation frameworks.

• Development Frameworks: Familiarity with agentic AI frameworks like LangChain, AutoGen, and related libraries for building complex AI applications.

Analytics & Reporting:

• Business Intelligence Tools: Tableau, Power BI, Looker for creating dashboards and reporting on product performance, KPIs, and OKRs.

• Data Warehousing & Analytics: Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data analysis tools.

• Performance Monitoring: Tools for tracking application performance, system health, and user engagement.

CRM & Automation:

• CRM Systems: Familiarity with enterprise CRM systems (e.g., Salesforce) for understanding customer data and sales processes, though direct management may be less common for this role.

• Integration Platforms: Experience with API management tools and middleware for integrating various systems and services.

• Cloud Platforms: Deep understanding of cloud-native architectures on major providers like AWS, Azure, or GCP.

📝 Enhancement Note: The technology stack reflects a modern, cloud-centric environment with a strong emphasis on AI/ML, automation, and data analytics. Candidates should highlight their experience with specific tools and platforms relevant to building and scaling AI-enabled healthcare solutions.

👥 Team Culture & Values

Operations Values:

• Innovation & Agility: A culture that embraces new technologies like AI and adapts quickly to market changes and user needs.

• Data-Driven Decision Making: Emphasis on using metrics (KPIs, OKRs) to guide strategy, prioritize initiatives, and measure success.

• Patient-Centricity: A core value of improving patient outcomes and the quality of care through technology and process improvements.

• Collaboration & Ownership: Fostering an environment where teams take ownership of their work and collaborate effectively across departments to achieve shared goals.

• Process Excellence: A commitment to re-engineering and optimizing processes for maximum efficiency and effectiveness in delivering healthcare solutions.

Collaboration Style:

• Cross-Functional Integration: Encouraging seamless collaboration between Product, Engineering, Data Science, Clinical Operations, and Pharmacy teams.

• Agile & Iterative: Working in agile sprints, with regular feedback loops and continuous improvement integrated into the development cycle.

• Open Communication: Promoting transparent communication channels for sharing insights, challenges, and best practices across teams and leadership levels.

• Stakeholder Alignment: Proactive engagement with stakeholders to ensure alignment on product strategy, priorities, and execution progress.

📝 Enhancement Note: The culture likely balances a mission-driven approach to healthcare with the fast-paced, innovative demands of AI technology. Success will depend on the ability to foster collaboration and drive results in a complex, regulated industry.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Regulatory Landscapes: Ensuring AI solutions comply with healthcare regulations (HIPAA) and data privacy standards while maintaining innovation speed.

• Integrating Complex AI: Successfully integrating cutting-edge AI technologies (Generative AI, Agentic AI) into existing, often legacy, healthcare systems and workflows.

• Data Quality & Accessibility: Overcoming challenges related to data silos, data quality, and accessibility within a large healthcare organization to fuel AI models effectively.

• Stakeholder Buy-in & Change Management: Gaining broad adoption and buy-in for AI-driven changes from diverse stakeholders across clinical, pharmacy, and operational teams.

• Balancing Platform vs. Solution: Effectively managing the dual demands of building a robust, scalable AI platform while simultaneously delivering high-impact, specific healthcare solutions.

Learning & Development Opportunities:

• AI Advancements: Continuous learning and exploration of emerging AI trends, models, and frameworks relevant to healthcare.

• Healthcare Domain Expertise: Deepening understanding of clinical pathways, pharmacy operations, and the complexities of healthcare delivery systems.

• Executive Leadership: Developing advanced strategic leadership, financial acumen, and organizational influence skills.

• Industry Conferences & Certifications: Opportunities to attend leading AI and healthcare technology conferences, and pursue relevant certifications in AI, product management, or healthcare informatics.

• Mentorship: Access to senior leadership and potential mentorship from experienced executives within BrightSpring Health Services.

📝 Enhancement Note: This role presents significant challenges due to the intersection of advanced AI, a complex regulated industry, and large-scale operations. However, these challenges also offer substantial opportunities for professional growth and impact.

💡 Interview Preparation

Strategy Questions:

• "How would you define the product strategy for an AI-enabled Health Cloud platform at BrightSpring, considering our mission and the current healthcare landscape?" (Focus on aligning AI initiatives with business goals, clinical needs, and regulatory compliance.)

• "Describe a time you led a global process re-engineering initiative. What was your approach, what were the key challenges, and what were the measurable outcomes?" (Prepare a case study showcasing process optimization skills, stakeholder management, and impact.)

Company & Culture Questions:

• "Based on your understanding of BrightSpring Health Services, how do you see AI transforming our operations and patient care?" (Research the company's mission, services, and recent news to articulate a relevant vision.)

• "How would you foster a culture of innovation and agile execution within your AI product team, especially when collaborating with established operational departments?" (Discuss your leadership style, approach to team building, and change management strategies.)

Portfolio Presentation Strategy:

• Executive Summary First: Begin with a high-level overview of your most impactful projects, focusing on strategic outcomes and leadership contributions.

• Storytelling with Data: For each case study, weave a narrative that highlights the problem, your strategic solution (including AI/process innovation), the execution journey, and the quantifiable results. Use clear, concise data visualizations.

• Focus on AI & Healthcare Relevance: Ensure your examples directly address your experience with AI technologies (LLMs, RAG, Agentic AI, RPA) and within regulated healthcare or pharmacy environments.

• Demonstrate Leadership: Emphasize your role in leading teams, influencing stakeholders, and driving strategic decisions.

• Anticipate Questions: Be ready to dive deep into technical details, strategic rationale, and operational challenges for any project presented.

📝 Enhancement Note: Candidates should prepare to articulate a clear vision for AI in healthcare, demonstrate a strong understanding of BrightSpring's business, and present a compelling narrative of their leadership impact through concrete examples.

📌 Application Steps

To apply for this Vice President of Product Strategy & Execution, AI Health Cloud position:

• Submit your application through the BrightSpring Health Services careers portal via the provided URL.

• Tailor Your Resume: Highlight 15+ years of experience in program management, product leadership, AI/ML, and healthcare/pharmacy sectors. Quantify achievements with metrics related to product success, process improvements, and AI integration. Use keywords from the job description (e.g., AI, Generative AI, RAG, FHIR, HIPAA, Process Re-engineering, Platform Strategy).

• Prepare Your Portfolio: Curate a selection of your most impactful projects that showcase your strategic thinking, AI/ML expertise, healthcare domain knowledge, and process re-engineering capabilities. Focus on demonstrable results and leadership.

• Research BrightSpring: Thoroughly understand BrightSpring Health Services' mission, services, market position, and any recent news or strategic initiatives related to technology or AI. This will be crucial for tailoring your responses and demonstrating genuine interest.

• Practice Your Pitch: Be ready to articulate your vision for AI in healthcare and how you would drive product strategy and execution at BrightSpring. Practice presenting your portfolio and answering strategic, behavioral, and technical questions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.