Technical Product Manager (IT) at DaVita
El Segundo, CA 90245, USA -
Full Time


Start Date

Immediate

Expiry Date

11 Jul, 25

Salary

91000.0

Posted On

11 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Information Systems, Requirements Analysis, User Experience, Product Management, Software Development

Industry

Information Technology/IT

Description

EDUCATION AND EXPERIENCE

  • 8 - 10 years’ experience in Product Management
  • Bachelor’s Degree required

SPECIALIZED EXPERIENCE, TRAINING, EDUCATION, OR QUALIFICATIONS

  • 5 years’ experience with Agile enterprise software development
  • 3 years’ experience with Requirements Analysis or Analyst Experience
  • Experience working with systems of complex workflows and configurations
  • Healthcare Information systems and clinical user experience
  • Experience writing requirements for a software application
Responsibilities

GENERAL PURPOSE OF THE JOB

We are seeking a dynamic and innovative AI Technical Product Manager to lead the development and optimization of cutting-edge artificial intelligence products. This role involves driving the product lifecycle from concept to launch, ensuring alignment with business goals and customer needs. You will collaborate with cross-functional teams, including data scientists, engineers, designers, and stakeholders, to deliver AI-driven solutions that enhance user experiences and deliver measurable value.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Lead in an agile with scrum development methodology developing software: define Epics, Features and User stories, actively participate in Kaizen and Sprint process and manage cost, feature, and schedule tradeoffs throughout the development cycle
  • Establish interface with cross-functional teams of domain experts, Product Directors, program management, and application development teams in a new product development/enhancement process. Work closely with data scientists and engineering teams to ensure successful integration of AI technologies into products.
  • Define and own the product vision, strategy, and roadmap for AI initiatives.
  • Monitor and evaluate product performance, leveraging analytics to drive improvements.
  • Identify market opportunities and customer pain points to shape AI product features and capabilities.
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