Solutions Architect

Staff Solutions Architect, Data Solutions page is loaded## Staff Solutions Architect, Data Solutions remote type:
Hybrid locations:
San Bruno, California:
Dallas, Texastime type:
Full time posted on:
Posted 2 Days Agojob requisition
-396#
** Who We Are
** Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence.

Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.#
** Description
* * This role will support the Solution Engineering leader in driving strategic alignment, standardization and operational excellence for Solution delivery. A force multiplier, enabling the Solutions/Eng. leadership, and working closely with xFN partners will build a Solutions toolset and stitch Verily’s platform and product capabilities in valuable Solutions that address customer needs. #
** Responsibilities**
* ** Pre-sales solutions consulting**:
The role involves ensuring smooth, on-time delivery of solutions by aligning various Verily teams, specifically the xFN teams. This includes providing pre-sales support for closing deals, responding to RFPs, managing dependencies, and acting as a liaison between product engineering and solutions teams to ensure architectural alignment. The person in this role also helps with sales-related materials and tracking solution deployment status.
* ** Driving Standardization and Repeatability**: A key function is to develop common, reusable solutions and services to drive repeatability and reduce custom efforts. This involves creating a central repository for solutions, components, and best practices, as well as developing standardized playbooks and reference architectures. The goal is to significantly reduce the time required to onboard new customers.
* ** Operational Management and Efficiency**:
The role is responsible for improving business processes and operational efficiency. This includes managing the intake process for new solution requests, establishing clear requirements, and aligning stakeholders. A central part of this is designing and managing a prioritization framework to effectively allocate resources based on strategic priorities.
* ** Solution Lifecycle Management**:
The role provides architecture and technical expertise to the entire lifecycle of a solution, from initial commitment through ongoing customer support. This includes participating in contract and legal reviews, and ensuring that all ongoing commitments and service level agreements (SLAs) to customers are met.#
** Qualifications
* * Minimum Qualifications
* Bachelor’s degree in computer or data science, engineering, and or life science field with 10+ years of experience in developing technologies in HCLS.
* Demonstrated success in engaging with customers to understand their needs, plan strategic initiatives, and deliver outcomes that exceed their expectations.
* Proven track record in solution architecture, and delivery, planning and stakeholder management. Experience building and deploying scalable solutions on cloud computing platforms such as GCP or AWS.
* Proven experience designing and implementing AI/ML solutions, including model development, training, and deployment, with a deep understanding of frameworks such as Tensor Flow, PyTorch, or similar.

Preferred Qualifications
* Exceptional communication, presentation, and interpersonal skills, capable of influencing diverse stakeholders across technical, and commercial functions.
* Demonstrated ability to thrive in a fast-paced, ambiguous, and rapidly changing startup environment.
* A breadth of experience with creating actionable insights from diverse health data modalities: omics, biomarkers, diagnostics, imaging, claims, SDOH, etc.…