Dr.Rajeev R. — CEO

I build the AI-powered enterprises of tomorrow — today. As Global Head of AI & Technology Services at SCALE Healthcare, I architected the transformation of a traditional RCM organization into a fully AI-enabled platform business. I own the full P&L, platform strategy, engineering execution, regulatory compliance, and enterprise client technology leadership. My career sits at a rare intersection: a clinically trained physician who evolved into an enterprise AI architect and technology executive. This dual lens — clinical intuition combined with platform engineering depth — gives me an edge few technology leaders can match. Platforms I build are compliant by architecture, governed by design, and trusted by enterprise clients. With 15+ years of progressive leadership, I have built organizations, not just solutions. At Optum (UnitedHealth Group), I scaled a data science function from a handful of analysts to 250+ data scientists, delivering 15+ production AI applications touching millions of members and billions in managed healthcare spend. At SCALE Healthcare, I converted a traditional RCM business into a commercially successful subscription AI platform — proving I can architect high-margin AI products and grow an entire business around them. Mission: build the platforms, commercial models, and governance frameworks that make healthcare organizations measurably smarter, faster, and more profitable — without compromising safety, security, or trust.

Stackforce AI infers this person is a Healthcare AI Architect with extensive experience in enterprise-level AI solutions.

Location: Noida, Uttar Pradesh, India

Experience: 14 yrs 9 mos

Skills

Ai Strategy
Technical Architecture
Machine Learning
Data Engineering
Ai Ml Product Development
Applied Machine Learning
Business Development
Automation & Digital Transformation

Career Highlights

Transformed traditional RCM into AI-enabled platform.
Scaled data science team from 5 to 250+ professionals.
Architected high-margin AI products for healthcare.

Work Experience

SCALE Healthcare

Global Head of AI & Technology Services (6 mos)

Optum

Director Data Science (2 yrs 5 mos)

Associate Director Data Science (2 yrs 11 mos)

Senior Manager Data Science (3 yrs 1 mo)

KPMG Global Services (KGS)

Assistant Manager Data Science (1 yr)

Cognizant

Senior Associate (6 mos)

Genpact

Assistant Manager (1 yr 11 mos)

Business Analyst (2 yrs 5 mos)

Education

Leadership Excellence & Advancement Program ( LEAP ) at Indian School of Business

Bachelor's of Dental Surgery at Rajiv Gandhi University of Health Sciences

XII - ISC at Rajendra Vidyalaya, Jamshedpur

X -ICSE at Rajendra vidyalaya, Jamshedpur

Dr.Rajeev R.

CEO

Noida, Uttar Pradesh, India14 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Transformed traditional RCM into AI-enabled platform.
Scaled data science team from 5 to 250+ professionals.
Architected high-margin AI products for healthcare.

Stackforce AI infers this person is a Healthcare AI Architect with extensive experience in enterprise-level AI solutions.

Contact

Skills

Core Skills

Ai StrategyTechnical ArchitectureMachine LearningData EngineeringAi Ml Product DevelopmentApplied Machine LearningBusiness DevelopmentAutomation & Digital Transformation

Other Skills

Data Governance & SecurityScalable AI solutionsLeadership and Team BuildingAgile MethodologiesStakeholder collaborationDefining Product RequirementsHeathcareGenerative AIPresalesProduct DemonstrationTechnical PresentationsEnterprise Data StrategyBusiness Impact MeasurementProcess OptimisationEmerging Technology Integration

About

Experience

Scale healthcare

Global Head of AI & Technology Services

Sep 2025 – Present · 6 mos · Noida · Hybrid

Built SCALE Healthcare's entire technology organization from zero — architecting a subscription-based AI product business. Accountable for full P&L, platform strategy, engineering execution, team growth, and enterprise client technology leadership.
▸ Designed and executed the subscription product strategy — converting healthcare enterprises from project-based engagements to recurring monthly subscription clients, establishing predictable ARR and durable revenue growth
▸ DenialShield — AI platform predicting, preventing, and automating resolution of insurance claim denials via intelligent multi-agent workflows and ML pipelines, reducing denial rates and accelerating revenue recovery
▸ RevenueShield — AI-driven revenue integrity platform automating medical coding, charge capture, and revenue cycle optimization; ensures maximum compliant reimbursement across enterprise health systems
▸ FrontDesk Shield — Agentic AI platform for front-end RCM, eligibility verification, and prior authorization automation; reduces administrative burden and accelerates patient access
▸ Recruited and scaled a high-performance global technology team from zero — engineering, AI, data, and product — establishing all delivery infrastructure, hiring frameworks, and operational

AI StrategyTechnical ArchitectureData Governance & SecurityScalable AI solutionsLeadership and Team Building

Optum

3 roles

Director Data Science

Promoted

Mar 2023 – Aug 2025 · 2 yrs 5 mos

➤ Leadership & Growth: Spearheaded the expansion of the PBM/Rx business in India, growing the team from 5 analysts to approximately 250 data scientists.
➤ Talent Management: Responsible for hiring, training, and developing talent, creating proof-of-concepts (POCs), and building scalable solutions in Azure.
➤ Solution Architect: Bridged business and technical expertise, fostering strong relationships with CXO leaders.
➤ Sales Collaboration & Revenue Growth: Acted as a "seller-doer," working closely with sales teams to capture new work and achieve revenue targets.
➤ Collaborative Leadership: Partnered with CXO-level stakeholders to identify strategic problem areas.
➤ POC Development: Led the development of POCs and provided thought leadership on product design and initial builds.
➤ AI/ML Product Development: Directed the design, development, and deployment of scalable AI/ML-driven analytics products.
➤ Enterprise Strategy Alignment: Ensured projects aligned with enterprise-wide strategies and technology mandates.
➤ Innovation: Integrated advanced AI/ML technologies with a holistic, enterprise-level approach to problem-solving.
➤ Technology & Security: Delivered solutions meeting the highest standards of design and security, contributing to enterprise goals.
➤ Inclusive Leadership: Promoted inclusivity and collaboration, encouraging team members to contribute their unique perspectives.

Data EngineeringAgile MethodologiesAI ML Product developmentStakeholder collaboration

Associate Director Data Science

Promoted

Mar 2020 – Feb 2023 · 2 yrs 11 mos

In addition to my responsibilities as a Director, my role as an Associate Director included:
➤ Mentoring and Team Development: I focused on nurturing talent by coaching team members through complex AI/ML projects and fostering a collaborative environment.
➤ Client-Centric Innovations: I led efforts to refine client segmentation and enhance industry classification models, enabling personalized and targeted business strategies.
➤ Proposal Development Leadership: I spearheaded the optimization of proposal development processes, aligning solutions with specific client needs to improve win rates.
➤ Portfolio Management: I managed a robust portfolio of AI/ML initiatives, ensuring timely delivery and measurable business impact.

Applied Machine LearningBusiness DevelopmentData Engineering

Senior Manager Data Science

Feb 2017 – Mar 2020 · 3 yrs 1 mo

Leading as Senior Manager, I championed the use of machine learning in clinical decision support and member risk stratification, projects that stood at the intersection of technology and patient care. My dedication to making a positive impact on healthcare was mirrored in the projects we undertook, aiming to improve medication management and patient outcomes. This role was instrumental in shaping my perspective on the power of data science in healthcare, driving me to explore innovative solutions that cater to the nuanced needs of patients and providers.
➤ Clinical Decision Support: Focused on leveraging ML algorithms for targeted interventions in clinical decision support.
➤ Member Risk Stratification: Utilized machine learning to stratify member risk, enhancing patient care strategies.
➤ Healthcare Impact: Dedicated to improving medication management and patient outcomes through innovative projects.
➤ Innovative Solutions: Explored and implemented data science solutions tailored to the nuanced needs of patients and providers.

Business DevelopmentDefining Product RequirementsMachine Learning

Kpmg global services (kgs)

Assistant Manager Data Science

Nov 2015 – Nov 2016 · 1 yr · Bangalore Urban, Karnataka, India

At KPMG India, my role was characterized by a keen focus on driving automation and digital transformation initiatives. I took a hands-on approach, working closely with my team to navigate the challenges of integrating new technologies into our workflow. This experience was pivotal in refining my technical skills and leadership approach, teaching me the importance of adaptability and proactive problem-solving in the fast-evolving landscape of data science.
➤ Automation & Digital Transformation: Focused on driving automation and digital transformation initiatives.
➤ Hands-On Leadership: Worked closely with my team to integrate new technologies into our workflow.
➤ Technical Skill Refinement: Refined my technical skills and leadership approach through hands-on experience.
➤ Adaptability & Problem-Solving: Learned the importance of adaptability and proactive problem-solving in a fast-evolving landscape.

HeathcareAutomation & Digital Transformation

Cognizant

Senior Associate

Apr 2015 – Oct 2015 · 6 mos · Bangalore Urban, Karnataka, India

➤ Foundation in Data Analytics: Developed a solid foundation in data analytics, understanding the industry's transformative potential.
➤ Learning & Growth: Embraced opportunities at Cognizant to learn from each project and solve real-world problems.
➤ Leadership & Innovation: Early experiences shaped my approach to leadership and innovation.
➤ Passion for Data Science: Instilled a passion for leveraging data science to drive meaningful change.

Heathcare

Genpact

2 roles

Assistant Manager

Promoted

Apr 2013 – Mar 2015 · 1 yr 11 mos · Bangalore Urban, Karnataka, India

Served as a Business Analyst, leading all clinical analytics projects for the group. Worked with Medco Health Solutions and Express Scripts, developing key analytics solutions such as Star Measure Analytics, FWA (Fraud, Waste & Abuse), and clinical analytics for the Therapeutic Resource Center (TRC). My journey began in these roles where I developed a solid foundation in data analytics, learning the ropes of the industry, and understanding the transformative potential of data science. At Genpact, I embraced the opportunity to learn from each project. These early experiences were crucial in shaping my approach to leadership and innovation, instilling in me a passion for leveraging data science to drive meaningful change.

Heathcare

Business Analyst

Oct 2010 – Mar 2013 · 2 yrs 5 mos · Bangalore Urban, Karnataka, India

➤ Clinical Analytics Leadership: Led all clinical analytics projects for the group.
➤ Key Analytics Solutions: Developed key analytics solutions such as Star Measure Analytics, FWA (Fraud, Waste & Abuse), and clinical analytics for the Therapeutic Resource Center (TRC).
➤ Foundation in Data Analytics: Developed a solid foundation in data analytics, understanding the industry's transformative potential.
➤ Learning & Growth: Embraced opportunities at Genpact to learn from each project and solve real-world problems.
➤ Leadership & Innovation: Early experiences shaped my approach to leadership and innovation.
➤ Passion for Data Science: Instilled a passion for leveraging data science to drive meaningful change.

Heathcare