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# VP Mechanical Engineering Healthcare Design

- **Company:** WSP
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Real Time Data
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_058872bee8228f50344535d7c97c41c2

## About the Role

* 2+ years managing team leads in a VP role.
 * Experience growing R&D teams at a startup or high-growth tech company.
 * Proven ability to lead cross-functional teams.
 * Proven ability to align with other teams in the R&D organization, especially remote teams.

Technical Depth

 * Strong background in data engineering, analytics and data science.
 * Proven experience in cloud-native architectures (preferably GCP).
 * Experience in scaling systems, improving CI/CD,
 * Big plus: working with ML or real-time data products.

Communication & Influence

 * Ability to motivate, mentor, and grow high-performing teams, promoting accountability and extreme ownership throughout the teams.
 * Strong communicator who can align technical and business stakeholders.
 * Excellent English skills (spoken and written) - able to clearly communicate with global teams, customers, and leadership.
 * Comfortable engaging directly with customers, partners, and executives.

Mindset & Approach

 * Hands-on and detail-oriented, with a "roll up your sleeves" attitude.
 * Strategic thinker who can balance short-term wins with long-term scalability.
 * Passion for building impactful, AI-driven products.

## Description

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.

As VP Engineering, you will serve as a senior technical and organizational leader, helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization, work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.

We're looking for a leader who's both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale., Strategic & Technical Leadership

 * Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
 * Report to the CTO and collaborate with Sr. peers to define and execute the company's technical roadmap.
 * Drive execution, innovation, process improvement, and change management across engineering and data science teams.
 * Scale the R&D team in line with Fetcherr's rapid growth.
 * Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.

Engineering & Operational Excellence

 * Design and refine engineering processes to improve reliability, velocity, and quality.
 * Champion data quality, validation, and analytics engineering practices.
 * Deliver the commitments according to customer requirements and timelines.
 * Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.

Customer & Product Alignment

 * Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
 * Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.

People & Culture

 * Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
 * Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
 * Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.