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Chief Data Officer

Orange, CA, USA | Alignment Healthcare

  • Industry:
    Healthcare - Hospitals
  • Position Type:
  • Functions:
    General Management
    IT / Information Technology
    Project Management
  • Experience:
    10-12 years
Job Description:
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We are experiencing rapid growth (backed by top private equity firms), and we are looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience.

Job Summary:

Alignment is seeking a highly qualified senior executive with a track record of creating competitive value by leveraging insights from data science and artificial intelligence to improve business processes. The position will be charged with creating a reputation for Alignment as an industry leader in leveraging data as an asset and a means to make members healthier, provide cost savings and engage more closely with its providers, members, brokers, customers, and partners. As a member of the senior management team, the VP, Data Science will be the primary source of leading analytics innovation efforts in conjunction with business growth. S/he will have operational and business ownership for data warehousing, data governance, and data quality. They will also have responsibility for developing analytics-based solutions and generating measurable economic benefits from data. This person will also implement data science programs which differentiate Alignment from the competition and create top line growth. S/he must have a deep understanding of product design and data science fundamentals, while confidently interacting with executive stakeholders and board members. This individual must be able to scale Artificial Intelligence at the enterprise level and help Alignment monetize data.

Core Responsibilities

Build a proprietary and world class predictive ARS engine, predict members who will consume healthcare resources in time for our clinicians and partners to have a material positive impact on their cost and experience.

Build a proprietary and world class predictive risk adjustment suspecting engine.

Build a proprietary and world class predictive Stars engine.

Build a proprietary and world class predictive member targeting and acquisition tools for our sales and marketing teams

Acquire the necessary external data to improve our predictive tools.

Build in the cloud using the industry leading tools


Deep technical experience analyzing and modeling structured, semi-structured and unstructured data using machine learning / predictive modeling.

Deep experience in data warehousing, data pipeline, data architecture, data quality processes, data warehousing design and implementation.

Proven experience in developing analytics strategy and roadmap and delivering commercial value through data monetization

Proven experience in identifying resources, negotiating contracts, license optimization and managing vendors

Ability to introduce emerging technologies and develop analytics-based products, while maintaining cost awareness and commercial strategy

Expert knowledge of analytical platforms and tools used to build Machine Learning models and intelligence capabilities

Capable of interfacing and building credibility with stakeholders; serve as the executive expert in data science.

10+ years professional work experience as a data scientist or on advanced analytics / statistics projects – Healthcare experience a strong plus

PhD in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field.

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