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Athenahealth
Athenahealth

Provides cloud-based SaaS healthcare technology and network-enabled services and point-of-care mobile apps for healthcare in the United States.

Product Manager- De-Identified Data Platform

职能数据工程
级别Lead级
地点2 Locations
方式现场办公
类型全职
发布2个月前
立即申请

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

We are building a compliant, scalable de-identified EHR data platform to support real-world evidence initiatives and research.

We are seeking a Product Manager to lead execution of our initial data offering and establish the foundation to scale. This role partners closely with Corporate Strategy, Data Modeling, Analytics, Engineering, Legal, and Privacy to deliver a defensible, commercially viable data product.

This is a high-visibility role at the intersection of healthcare data, compliance, AI, and platform development.

As Product Manager, you will lead the end-to-end execution of our de-identified healthcare data platform, beginning with the launch and building the foundation for scalable growth. You will translate corporate strategy into a clear product roadmap and drive structured delivery across data ingestion, normalization, de-identification, modeling, and compliant distribution.

Working cross-functionally with Engineering, Data Modelers, Analytics, Legal, Privacy, and Corporate Strategy, you will ensure the platform is commercially viable, technically scalable, and compliant by design. This role requires an AI-first mindset — leveraging AI to accelerate data mapping, quality validation, documentation, and internal workflows, while embedding automation and intelligence into the platform itself.

You will be accountable for delivering a repeatable, audit-ready data product that supports research use cases while protecting trust and integrity.

Key Responsibilities

  • Own the end-to-end product lifecycle for the de-identified data platform, from ingestion and normalization through de-identification, modeling, and delivery

  • Define and maintain the product roadmap in alignment with corporate strategy and commercialization goals

  • Translate strategic objectives into clear product requirements, documentation, and execution plans

  • Partner with Engineering and Data teams to prioritize and deliver scalable, high-quality platform capabilities

  • Collaborate with Data Modelers to design normalized, extensible data structures that support real-world evidence use cases

  • Establish data quality standards, validation frameworks, and certification checkpoints

  • Operationalize data rights and compliance workflows in partnership with Legal and Privacy teams

  • Apply AI tools to improve product development velocity, enhance data mapping and validation workflows, and elevate documentation standards

  • Identify opportunities to embed AI-driven automation into core platform capabilities

  • Drive cross-functional alignment across Strategy, Data, Analytics, Engineering, Legal, and Commercial stakeholders

  • Support onboarding of external partners through structured delivery processes, documentation, and defined SLAs

Qualifications

  • 5–8+ years of product management experience

  • Experience building data platforms, APIs, or structured data products

  • Experience working with healthcare data (claims, EHR, or other regulated datasets)

  • Strong understanding of data modeling principles

  • Demonstrated use of AI tools to improve product development and execution velocity

  • Experience partnering with Legal, Privacy, or Compliance stakeholders

  • Strong written communication and structured thinking skills

Preferred:

  • Familiarity with HIPAA Privacy Rules or de-identification frameworks

  • Experience launching 0→1 data products

Why Join Us?

  • Build a data platform that enables real-world impact in healthcare research

  • Work at the intersection of AI, compliance, and scalable data architecture

  • Operate in a culture that values ownership, clarity, and innovation

  • Partner with leaders shaping the future of healthcare data interoperability and intelligence

Expected Compensation

$121,000 - $207,000
The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.

About athenahealth Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Our company culture: Our talented  employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.

Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.

What we can do for you:

Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative  workspaces  — some offices even welcome dogs.

We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

Learn more about our culture and benefits here: athenahealth.com/careers

https://www.athenahealth.com/careers/equal-opportunity

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关于Athenahealth

Athenahealth

Athenahealth, Inc. is a privately held American company that provides cloud-based SaaS healthcare technology and network-enabled services and point-of-care mobile apps for healthcare in the United States.

5,001-10,000

员工数

Watertown

总部位置

评价

10条评价

3.5

10条评价

工作生活平衡

2.8

薪酬

3.2

企业文化

4.1

职业发展

3.4

管理层

3.7

65%

推荐率

优点

Great work culture and collaborative team environment

Professional growth and learning opportunities

Supportive management and mentorship

缺点

Heavy workload and high pressure environment

Frequent overtime and work-life balance issues

Fast-paced and stressful work environment

薪资范围

491个数据点

Junior/L3

L2

L6

Mid/L4

Director

L3

L4

L5

Junior/L3 · Product Analytics Senior Associate, Patient Experience

1份报告

$117,901

年薪总额

基本工资

$102,523

股票

-

奖金

-

$117,901

$117,901

面试评价

1条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Phone Screen

3

Technical Interview

4

Final On-site Virtual Interview Loop

5

Offer Decision

常见问题

Machine Learning Algorithms

Coding/Programming

Technical Knowledge

System Design

Behavioral/STAR