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Sr. Manager, AI Product Development

3 months ago

Minneapolis, Minnesota, United States Gateway Recruiting Full time
JOB DESCRIPTION:

The Senior Manager, AI Product Development reports to the Head of Technology, Digital Solutions.

The Senior Manager, AI Product Development role will provide leadership for AI product development focused on external healthcare customer facing solutions supporting HCPs, HCOs, payors etc.

The Senior Manager, AI Product Development role will work with cross-functional teams to plan, develop, and deliver state of the art Data Science solutions supporting our patients and customers.

JOB RESPONSIBILITIES:
  • Define strategy to build high performing AI product development teams. Formulate team goals to support business growth objectives, performance management, recruit, develop and retain talent to support business needs.
  • Provides technical and functional leadership for a highly skilled product AI team (data engineers, data scientists, software architects etc.) to accomplish team goals.
  • Responsible for on-time and high-quality delivery of product focused AI solutions in collaboration with cross-functional teams across Digital Solutions and Medical Device divisions.
  • Provides leadership to define development methodologies, build project plans, establish development estimate practices, project resource allocation, ensure relevant technology stack (development environment and toolchains) for continuous integration and continuous deployment.
  • Challenge and coach team members as well as external partners to push for optimal insights and optimized/tailored/high-impact scalable data science solutions.
  • Develop team processes, prioritize data science work, develop team roadmaps and deliverables, and provide hands on coaching and review of work performed by team.
  • Define and ensure implementation of data science standards for exploration, development, and deployment.
  • Develops budget estimates, obtains capital resources to deliver business goals. Contributes to business unit and divisional strategy planning.
  • Provides mentorship and career development oversight for direct report employees.
Critical Success Indicators:
  • Successfully built and commercialized multiple enterprise grade Product AI solutions and services from concept through launch using agile processes in both consumer tech and med tech.
  • Demonstrated experience in creating data science solutions that seamlessly fit into customer and patient desired workflows.
EDUCATION AND EXPERIENCE:

Required:
  • Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
  • 12+ years of relevant working experience in AI product development, 5+ years being a people manager.
  • Experience in leading a data science team, ideally on- and offshore. Solid experience working on full-lifecycle data science; experience in applying data science methods to business problems.
  • Possesses a deep understanding of data science methodologies and concepts.
  • Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms
  • Strong customer centric approach with outstanding leadership and organizational skills.
  • Ability to communicate complex quantitative analysis in a clear, precise, actionable manner.
  • In-depth knowledge of software architecture styles, design patterns, and architectural principles.
  • Proficiency in one or more programming languages, such as Java, C#, Python, or JavaScript.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
  • Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling principles.
  • Significant experience working with agile software development methods, such as scrum and Kanban and exposure to working within CI/CD pipelines.
  • Experience incorporating Security by Design principles into AI product development.
  • Excellent technical, troubleshooting & mentoring skills.
  • Strong verbal, written and presentation skills with ability to build trust.
  • Results oriented with focused urgency, prioritization skills and ability to recognize/escalate issues appropriately.
  • Demonstrated ability to adapt to evolving technologies and industry trends.
Preferred:
  • Medical Device experience
  • Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred.
  • Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy.
  • Experience with microservices architecture and distributed systems.