Senior Software Engineering Manager

Position: Technical Product Manager/Senior software Manager- Data Science Products

Duration: 12+ months

Location: 100% Remote

Looking for a candidate who is coming from a developer/ engineering background. Someone who knows how to scale-up the applications. Should have some experience in microservices and kubernetes.

A Brief Overview

The Technical Product Manager of Data Science Products will report to the Data Science Director to lead the development and implementation of innovative data and AI products for our healthcare system. This role requires a unique blend of technical expertise, product vision, and a passion for improving healthcare through data-driven solutions. You will collaborate closely with cross functional teams, including data scientists, engineers, clinicians, and researchers, to deliver cutting edge products that address critical needs within our academic medical center.

This role is in a new team supporting inaugural Chief Data Scientist in building solutions that incorporate Artificial Intelligence (AI) to improve patient care, medical research, and administrative services. This team was created to bring AI, predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that lead to better patient outcomes.

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

• 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.

• 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 Qualifications

• 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).

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.

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.