Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Skills
AI products
Job Details
What you will do:
Define and execute the product vision and roadmap for data and AI products, aligning technical capabilities with the strategic objectives of the medical center.
This involves:
o Collaborating closely with engineering teams to ensure the technical feasibility and scalability of products.
o Prioritizing user needs based on user research, market trends, and SHC business objectives.
o Defining product requirements, user flows, and success metrics
Define and execute the product vision and roadmap for data and AI products, aligning technical capabilities with the strategic objectives of the medical center.
This involves:
o Collaborating closely with engineering teams to ensure the technical feasibility and scalability of products.
o Prioritizing user needs based on user research, market trends, and SHC business objectives.
o Defining product requirements, user flows, and success metrics
Lead the product development lifecycle, including planning, execution, and delivery of new features and products.
This involves:
o Developing and maintaining a product roadmap.
o Managing the product backlog.
o Facilitating sprint planning progress.
o Managing product releases and collecting user feedback.
This involves:
o Developing and maintaining a product roadmap.
o Managing the product backlog.
o Facilitating sprint planning progress.
o Managing product releases and collecting user feedback.
Generate detailed product requirement documents that include different jobs to be done throughout the data lifecycle. This will include thinking through data ingestion, data governance, and data delivery.
Effectively communicate project status, progress, and outcomes to stakeholders.
Drive product adoption and iteration, monitoring product performance, gathering feedback, and identifying opportunities for improvement. Education
Effectively communicate project status, progress, and outcomes to stakeholders.
Drive product adoption and iteration, monitoring product performance, gathering feedback, and identifying opportunities for improvement. Education
Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
Experience Qualifications
5+ years of experience as a technical product or program manager, product owner, solutions architect, or similar role, preferably in a data science or analytics environment.
Strong technical background, including knowledge of data science methodologies, tools, and technologies (e.g., Python, R, SQL, Machine Learning frameworks).
Experience working with cloud platforms (e.g., Azure, Google Cloud Platform, AWS).
General understanding of data engineering concepts
Experience with agile project management methodologies (e.g., Scrum).
5+ years of experience as a technical product or program manager, product owner, solutions architect, or similar role, preferably in a data science or analytics environment.
Strong technical background, including knowledge of data science methodologies, tools, and technologies (e.g., Python, R, SQL, Machine Learning frameworks).
Experience working with cloud platforms (e.g., Azure, Google Cloud Platform, AWS).
General understanding of data engineering concepts
Experience with agile project management methodologies (e.g., Scrum).
Preferred Qualifications
Advanced degree in a relevant field, such as data science, computer science, or healthcare management.
Experience with scientific research and analysis tools like Jupyter, RStudio, VSCode.
Experience delivering products and machine learning models using cloud-native services like BigQuery, Dataproc, Redshift, Sagemaker, and Synapse.
Developing products in regulated environments, particularly healthcare.
Machine learning, model development, MLOps, and deep learning frameworks (e.g., TensorFlow or PyTorch)
Working with electronic health record data.
Familiarity with Data Visualization tools and techniques
Experience in Healthcare, health research, life sciences, or similar industries.
Advanced degree in a relevant field, such as data science, computer science, or healthcare management.
Experience with scientific research and analysis tools like Jupyter, RStudio, VSCode.
Experience delivering products and machine learning models using cloud-native services like BigQuery, Dataproc, Redshift, Sagemaker, and Synapse.
Developing products in regulated environments, particularly healthcare.
Machine learning, model development, MLOps, and deep learning frameworks (e.g., TensorFlow or PyTorch)
Working with electronic health record data.
Familiarity with Data Visualization tools and techniques
Experience in Healthcare, health research, life sciences, or similar industries.
Required Knowledge, Skills and Abilities
Strong leadership and management skills, with the ability to provide guidance and support to a team of engineers
Excellent communication, interpersonal, problem-solving, and analytical skills.
Knowledge and understanding of healthcare informatics related technologies and standards.
Proven ability to manage complex projects with multiple stakeholders and competing priorities.
Strong leadership and management skills, with the ability to provide guidance and support to a team of engineers
Excellent communication, interpersonal, problem-solving, and analytical skills.
Knowledge and understanding of healthcare informatics related technologies and standards.
Proven ability to manage complex projects with multiple stakeholders and competing priorities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.