Solutions Consultant, Commercial Data
- Market p25–p75
- $55k–$154k
- Opened · 30d
- +2
- Closed · 30d
- −1
- Opened · 7d
- +21,7855% of open
- All other
- 624,589open
Who are we and why should you join us?
ConcertAI is building the future of precision medicine. We use advanced artificial intelligence and real-world data to transform how healthcare and life sciences generate evidence, make decisions, and improve patient outcomes—starting in oncology and rapidly expanding across therapeutic areas. Our teams partner with the world’s leading pharmaceutical companies, providers, and research organizations to solve some of healthcare’s most complex challenges.
At the core of our innovation is Cara, our next-generation AI platform that unlocks powerful insights from complex clinical, imaging, and molecular data. Combined with our Precision Suite—which unifies real-world data, advanced analytics, and scalable evidence generation—these solutions are transforming how clinical development, regulatory, and commercialization decisions are made.
ConcertAI brings together a portfolio of purpose-built solutions, including TeraRecon, an industry leader in advanced imaging and AI-driven visualization, and CancerLinQ, the ASCO-originated oncology platform advancing care quality and large-scale discovery.
Joining ConcertAI means working alongside bold thinkers, builders, and healthcare experts on innovative, high-impact products that directly improve patient lives. You’ll be part of a fast-growing, mission-driven organization at the forefront of AI-enabled healthcare, with meaningful opportunities for growth and leadership.
Your Opportunity
The Solutions Consultant, Commercial Data is responsible for translating complex pharmaceutical and life sciences customer needs into well-defined, scalable, and implementation ready solutions using ConcertAI's data, technology, and application capabilities. This role serves as a critical bridge between the pre-sales solution process and implementation, partnering with customers and internal teams to define solution approaches, architecture, data flows, integration requirements, and implementation considerations.
The Solutions Consultant, Commercial Data is primarily focused on solution architecture, solution design, implementation transition, and solution continuity. The role participates in customer discovery and pre-sales solution consulting, but is not primarily responsible for originating or closing business. The Solution Architect partners closely with Sales, Product, Engineering, Data, Engagement Management, Business Analysis, and Project Management teams to ensure solutions are technically feasible, clearly defined, and successfully transitioned into implementation.
How You'll Make an Impact
Solution Architecture & Design
- Translate customer business objectives and requirements into comprehensive solution designs leveraging ConcertAI's Data Foundry, Maestro configuration capabilities, Cadence applications, and related data assets.
- Design solution approaches incorporating data sources, data flows, business rules, configurations, workflows, integrations, and downstream application or analytics requirements.
- Develop conceptual solution architectures, data-flow diagrams, integration approaches, workflows, and solution documentation that clearly communicate how the proposed solution will operate.
- Evaluate customer requirements against existing product and platform capabilities and identify configuration, integration, product, data, or engineering needs.
- Partner with Product, Engineering, Data, and implementation teams to validate technical feasibility, dependencies, assumptions, and constraints.
- Identify solution risks and design decisions early and drive alignment on how they should be addressed.
- Ensure solution designs are scalable, supportable, compliant, and aligned with ConcertAI product and technology standards.
Implementation Transition & Solution Continuity
- Own the solution transition from the commercial process into implementation for assigned opportunities.
- Document solution scope, architecture, business objectives, data requirements, assumptions, dependencies, key decisions, and customer expectations.