The VP, Data Operations will be expected to drive operational excellence by instilling best practices and operational rigor across the entire data management process spanning data source identification and acquisition, initial onboarding, ongoing production, and operational warehouse architecture and structure and availability, including all necessary reference data management. He/she will be responsible for successfully managing and engaging the team in building and supporting best-in-class process and architecture. Leveraging the existing HealthVerity platform, the VP, Data Operations will enhance the strategy and design of our data warehousing architecture, processes, common data model structures and quality assurance, by defining data architecture standards and data warehouse policies and procedures. Peer review of solutions and implementation is expected.
What you will do
- Manage, develop and lead our data architecture and data ingestion teams
- Direct our data provider engagement process for both requirements gathering and data onboarding support
- Design, develop, deploy, and manage a reliable and highly scalable data pipeline and automated ingestion and normalization process
- Develop company standards in terms of nomenclature, storage, design, and deployments
- Perform troubleshooting on all ETL processes and resolve issues effectively
- Oversee development and maintenance of various database scripts and tools to facilitate the automation process
- Provide support to all data warehouse initiatives
- Oversee development of relevant Extract, Transform, Load (ETL) scripts to move data from unstructured to a common data model
- Oversee and enhance master data management capabilities
- Build a QA Automation framework that provides real-time alerts on data ingestion, drop rate, data processing
- Implement systems for tracking data quality and consistency
- Work closely with engineering and system operations teams to ensure clean handoffs between organizations
- Partner with peers to review solutions and implementation
- Streamline the entire data ecosystem from end to end to ensure the most efficient, structured, standardized, privacy compliant processes possible
To date, HealthVerity has successfully executed a data management model during the early phase of the company’s lifecycle, successfully onboarding and maintaining data from over 75 diverse large-scale national healthcare and consumer data sources. The incoming VP, Data Operations will concentrate HealthVerity’s efforts on building / expanding process management to enable the seamless integration of even more novel data, ensuring that the company has a high-reliability, highly agile process in place to support future growth.
The ideal candidate must be passionate about leading by being in the trenches, and will be experienced with relevant data management knowledge. The VP, Data Operations will likely have a background growing and hardening a company’s data pipeline and data architecture. Recognized as an experienced leader with the ability to galvanize a team, this individual has experience in attracting, training, and managing top talent, and has implemented innovative and effective data management processes that led to significant data quality and throughput improvements. Possessing a hands-on, lead-from-the-front style as well as passion for success, the ideal candidate can quickly assimilate into their new surroundings, assess the team, capabilities and overall strategy, and immediately drive positive change. He/she will lead authorship of HealthVerity’s operational data plan and process, and drive execution of the plan.
HealthVerity has built an amazing set of software assets and a highly scalable methodology and marketplace for linking both identified and de-identified patient data, provisioning a non-exclusive, facilitative business model that allows for the commercialization of unique datasets across an interoperable tech platform. In short, HealthVerity’s eCommerce engine supports the common good of data acquisition without disintermediating its data partners, while deftly supporting HIPAA requirements.
The company is well-funded and has rapidly grown revenue over the past two years. In 2019, headcount doubled to nearly 80 FTEs, with an expectation of similar growth in 2020. HealthVerity is seeking to attract a player / coach type of technology leader to help drive operational excellence. This position will report to the CTO as well as working closely with both Co-Founders, CEO Andrew Kress and COO Andrew Goldberg, and collaborating with the rest of the leadership team. We covet a disciplined and dedicated VP, Data Operations, capable of growing and leading a team that today consists of talented Data Architects, Data Engineers, Acquisition Engineers, and QA Analysts responsible for the ingestion and maintenance of data from over 75 large-scale sources on an ongoing basis, comprised of over 90 billion transactions to date. The incoming leader will be expected to recruit and retain top technical talent to rapidly expand the company’s ability to deftly manage data ingestion and warehousing, maximizing top line platform growth by increasing both efficiency, accuracy, and repeatability of data onboarding and production. This role will own all resources for managing data access across the entire pipeline from initial sourcing through final warehouse availability for all data assets.
The HealthVerity VP, Data Operations will possess the following background and qualities:
- 10+ years of experience in database management and data warehousing
- 10+ years of experience with ETL of healthcare data including EMR, claims, and pharmacy data
- Experience using distributed computing for high performance manipulation of data at scale
- Understanding of healthcare IT standards such as ANSI 837, NCPDP, HL7, and FHIR
- Experience in building and managing a top-performing data operations team
- Team player who works collaboratively with colleagues, management and staff across all levels of a cohesive organization
- Experience in managing people, processes and technology to drive efficiency and repeatability
- Process-driven, a believer in a zero-error rate data management objective
- Understands the needs and challenges of a mission-critical data environment
Drive for Results – Relentless in the pursuit of a few key goals; seeks out quantitative comparison, both of past performance and against peer groups (internal and external benchmarks); shows a consistent pattern of results delivery in good and challenging environments
Domain Expertise – Distributes and tests on market knowledge; ensures that team becomes students of the industry; helps team understand changing marketplace conditions and new data types; ensures leading edge terminology is learned; provides messaging to all audience types
Resourcefulness – Goes the extra ‘mile’ to solve a problem; finds/co-opts resources to address a challenge that others do not even consider; not stymied by the lack of formal resources in ad hoc problem solving
Platform Management – Manages data pipeline and warehouse; critically inspects processes; accelerates solution development; demonstrates solution ingenuity; provides experience-based ideas
Strategic Skills – Uses experience and methodologies to spot and implement improvement opportunities in data process management; manages; understands and adopts corporate strategic goals; conducts executive-level discussions with senior staff; produces a strategic data management plan; understands customer value proposition and links solutions to the company's strategy for meeting customer needs
Managerial Courage – Thrives in a management environment where autonomy is valued; able to make decisions and set priorities without intense oversight; can work alone without any loss in productivity; understands and agrees to the need for accountability; is willing to take bold stands on occasion and can defend them with facts / empirical data
Clarity of Communication – Actively documents and communicates process and objectives to relevant stakeholders at the appropriate level of complexity; understands the need for both thorough process mapping and documentation as well as the ability to understand and communicate the relationship of the process to the end product
Bachelor’s Degree required
A competitive base, bonus and equity package will be provided to the chosen candidate
HealthVerity is a high-growth, venture-backed company that is transforming the way data-led organizations make critical decisions. Our technology platform serves as the foundation for the rapid creation, exchange, and management of healthcare, and consumer data in a fully-interoperable, privacy-protecting manner. Advantaged by highly sophisticated identity resolution and matching capabilities, HealthVerity is on a mission to increase transparency, forge interoperability and activate deeper insights.
HealthVerity develops novel technologies and tools to enhance the transparency, connectivity, and privacy management of healthcare and consumer data assets for pharmaceutical manufacturers, healthcare providers and payers to maximize their data utility and analytic insights. These SaaS technologies further enable HealthVerity to power a cloud-based healthcare data marketplace that connects data at the patient level from a broad set of top-tier external data partners that is currently leveraged by major Fortune 500 pharmaceutical manufacturers, insurance companies and other pharma services companies as a way to source and connect HIPAA-compliant patient/member data. The company has built the largest and most diverse set of healthcare data available today by working with more than 75 national-scale leading data sources including medical claims, pharmacy, lab, electronic medical records, hospital data, imaging, genomic data, consumer data and media data (there are currently over 60 billion healthcare transactions for more than 330 million patients in the HealthVerity Marketplace). The company also provides SaaS technologies licensed by clients to enable HIPAA-certified patient de-identification and matching services for their own internal data assets, as well as tools to facilitate high-governance privacy compliant data exchange between themselves and other third parties.
The company is five years old, is based in Philadelphia, and is backed by top technology and healthcare investors including Foresite Capital, Flare Capital, and Greycroft.
HealthVerity is an equal opportunity employer.