Senior Director, Commercial Solutions Engineering – Pre-sales

Role Overview

• Lead the operational execution of the Solution Architecture function, ensuring high‑quality feasibility assessments and solution designs.
• Execute and oversee presale feasibility analyses, including:
• Running RWD cohort counts across internal and external data sources.
• Translating clinical and business criteria into computable logic.
• Validating feasibility outputs and communicating methodological considerations.
• Apply deep expertise in healthcare data (claims, EHR, registry, lab, specialty, linked datasets) and analytic methods to design scalable, high‑value customer solutions.
• Co‑sell alongside Sales by:
• Engaging directly with prospects to understand scientific, clinical, and business needs.
• Translating those needs into technically feasible solution constructs.
• Articulating Inovalon’s unique value propositions and data differentiation.
• Supporting value‑based storytelling through feasibility insights and technical demonstrations.
• Serve as the primary technical advisor during presale engagements, ensuring solution designs are feasible and aligned with platform capabilities.
• Collaborate with subject matter experts, data scientists, engineers, and product leaders to architect custom solutions.
• Develop technical proposals, feasibility summaries, solution design documents, and customer‑facing presentations.
• Provide post‑sale technical guidance to ensure continuity between presale design and delivery.
• Lead, mentor, and grow the Solution Architecture team; support hiring, training, and development.
• Contribute to process improvements, documentation standards, and best practices for feasibility and solution design.
• Represent Inovalon externally with data partners and collaborators as needed.
• Maintain compliance with Inovalon policies, confidentiality requirements, and HIPAA standards.

Requirements

• 10 years of experience in healthcare data, analytics, data engineering, or related technical domains.
• Demonstrated experience running RWD feasibility analyses and executing patient counts across multiple data environments.
• 3–5+ years leading technical or cross‑functional teams.
• Strong understanding of data models, pipelines, SQL‑based querying, and analytic methodologies used in HEOR, epidemiology, and clinical research.
• Proven ability to co‑sell with commercial teams, including consultative discovery and technical‑commercial storytelling.
• Ability to translate complex technical concepts for diverse audiences.
• Strong communication skills and experience preparing technical documentation and client materials.
• Expert fluency with SQL, Python, R, or similar analytic tools.
• Highly organized, responsive, and detail‑oriented.
• Positive, professional, and solution‑oriented mindset.

Tech Stack

• Python
• SQL

Benefits

• health insurance
• life insurance
• company-paid disability
• 401k
• 18+ days of paid time off