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Full-Time

Data Product Manager

Posted on 6/28/2024

Regard

Regard

51-200 employees

Healthcare technology platform for data analytics

Data & Analytics
Enterprise Software
Healthcare

Compensation Overview

$140k - $170kAnnually

+ Equity + Performance Bonuses

Senior

Remote in USA

Category
Product Management
Product
Required Skills
Python
Sales
UI/UX Design
Data Science
BigQuery
SQL
Tableau
Data Analysis
Requirements
  • BS degree in Computer Science, Data Science, Engineering, or a related field or equivalent experience
  • 4+ years in product management, preferably in a SaaS company
  • Experience building/managing technical capabilities like data pipelines, data warehousing, public APIs
  • Experience building BI dashboards and working with BI tools (e.g. Tableau, Looker, Quicksight, Metabase)
  • Proficient in analyzing intricate, large-scale data sets to guide decision-making
  • Expertise with data model and data pipeline development on modern data warehouses (e.g. Snowflake, Redshift, BigQuery)
  • Advanced fluency with SQL and a deep understanding of data architecture patterns and practices
  • Exposure to data processing with Python or another high-level language
Responsibilities
  • Lead the ideation, technical development, and launch of innovative data products
  • Define and execute product strategy, including roadmap, features, timeline and developing and monitoring KPIs, while balancing business needs and resource limitations
  • Analyze market trends and competition to inform product development and pricing strategies
  • Engage with customers, sales, UX, and engineering teams to gather feedback and ensure products meet user needs and exceed expectations
  • Utilize data-driven decision-making to prioritize product features and development efforts
  • Collaborate with data engineers, architects, and stakeholders to build a cohesive data ecosystem that incorporates best practices and ensures the highest standards in data management, governance, and quality
  • Design, develop, and optimize data pipelines and ETL processes to ensure efficient data flow and integrity
  • Implement and manage analytics solutions to provide actionable insights for internal and external stakeholders
  • Ensure data quality and integrity through rigorous testing and validation procedures

Regard provides a platform designed to improve the efficiency of healthcare providers, such as hospitals and clinics, by using data analytics and automation. The platform analyzes patient data to recommend diagnoses, automate note-taking, and identify missed revenue opportunities. This allows healthcare professionals to spend less time on administrative tasks and more time on patient care. Unlike many competitors, Regard operates on a software-as-a-service (SaaS) model, charging subscription fees for access to its platform, which can save clinicians 15-30% of their time and significantly enhance hospital finances. The goal of Regard is to streamline medical documentation and improve diagnostic accuracy, ultimately benefiting both healthcare providers and patients.

Company Stage

Series A

Total Funding

$20.4M

Headquarters

Santa Monica, California

Founded

2017

Growth & Insights
Headcount

6 month growth

17%

1 year growth

17%

2 year growth

17%
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Simplify's Take

What believers are saying

  • Recent Series B funding of $61M positions Regard for significant growth and innovation in healthcare AI.
  • The platform's efficiency improvements allow healthcare professionals to focus more on patient care, potentially leading to better patient outcomes.
  • Regard's ability to enhance hospital finances by reducing coding queries and improving medical record accuracy makes it an attractive solution for healthcare institutions.

What critics are saying

  • The competitive landscape in healthcare technology is intense, requiring Regard to continuously innovate to maintain its edge.
  • Reliance on AI for diagnostic accuracy may face regulatory scrutiny and require rigorous validation to ensure compliance.

What makes Regard unique

  • Regard leverages advanced AI to automate medical documentation and enhance diagnostic accuracy, setting it apart from traditional healthcare solutions.
  • Their SaaS model ensures a steady revenue stream while providing scalable solutions, unlike competitors who may rely on less predictable revenue models.
  • The platform's ability to save clinicians 15-30% of their time and generate an estimated $100K revenue impact per user offers a compelling value proposition.

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