As a not-for-profit organization, Partners HealthCare is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women's Hospital and Massachusetts General Hospital, Partners HealthCare supports a complete continuum of care including community and specialty hospitals, a managed care organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research.
We're focused on a people-first culture for our system's patients and our professional family. That's why we provide our employees with more ways to achieve their potential. Partners HealthCare is committed to aligning our employees' personal aspirations with projects that match their capabilities and creating a culture that empowers our managers to become trusted mentors. We support each member of our team to own their personal developmentand we recognize success at every step.
Our employees use the Partners HealthCare values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.
General Summary/Overview Statement
A foundational enabler of Partners Enterprise Data and Digital Health Strategy is the development of a forward looking, cutting edge data ecosystem. This data ecosystem will be built around digital assets currently in place and will augment those assets with new capabilities to 'plug gaps', eliminate redundancies, and ensure interconnectedness of the entire ecosystem. The data ecosystem will be a critical differentiator for Partners to be a global digital health leader.
To ensure the work to develop components of the data ecosystem, currently occurring in multiple workstreams, is aligned and standardized whenever possible, Partners is looking to staff a digital leader as the Enterprise Data Ecosystem Architect. Overall, the Architect will be responsible for the high level architectural design of the Partners Data Ecosystem, partnering closely with leaders and architects in each workstream to ensure the ecosystem is leveraging capabilities already developed, designed to meet each workstreams' needs, and drive alignment across the workstreams for critical components of the architecture. The focus of this role is on the overarching data ecosystem architecture with the architects in each workstream responsible for developing the specific architecture to meet their workstream needs. Through this work, the Enterprise Data Ecosystem Architect will ensure that the components of the data ecosystem are well integrated to support the broader digital needs of Partners and our Institutions.
Principal Duties and Responsibilities
Develop high level data flow and data model to discern critical data flows between ecosystem components, and source of truth for both raw and curated datasets. Work with architects in each workstream to ensure high level design works with the specific components being built
Develop set of guiding principles for when data should be repeated vs. sourced from one area, work with the workstream architects to harden principles and implement
Outline high level security model for data ecosystem and determine key components of security infrastructure (working closely with Information Security)
Articulate how data ecosystem will evolve through development / migration of key components to cloud infrastructure
Set the standard for documentation and work with workstreams to develop and maintain documentation around future data ecosystem including data platforms, technology architecture, data flows, data consumption, data integration, and security model. Ensure standardization of documentation and eliminate overlap of components
Collaborate with CTO and technology architects on infrastructure, platform design, and interoperability
Ensure data ecosystem architecture supports the work in each workstream for a diverse set of users
Identify areas of overlap between workstreams specific data architectures and bring leaders together to resolve
Develop high level interface design between enterprise data ecosystem and local data assets at the institutions to ensure local needs are being met and enterprise standards are being extended to local institutions as necessary
Determine gaps in overall data architecture and bring visibility to senior leaders
Develop the overarching roadmap for build-out of the data ecosystem architecture, working closely with workstream architects to incorporate their roadmaps and drive alignment between roadmaps, identifying and mitigating dependencies and risks. Roadmaps include high level migration plans from on-prem capabilities to cloud capabilities
Identify and communicate technical risks and recommend risk-mitigation solutions
Collaboratively drive consensus of teams with diverse backgrounds on the technical components of the vision and roadmap to business and technology stakeholders
Develop set of data ecosystem architectural standards to be followed across the enterprise
Help chart enterprise data governance and data management tools strategy for tools shared among multiple solutions
Provide expertise and thought leadership in Big Data, Cloud, Enterprise Information Management, and other data management and analytics technology offerings
15 years of experience in data and technology architecture
7 years of experience in architecture of modern data platforms using technologies such as Big Data, Analytics, and Cloud
3 years of consulting or prior experience serving in an Enterprise Architect role
BS minimum, MS or other advanced degree preferred
Experience in Enterprise Architecture techniques and frameworks (TOGAF, Zachman)
Experienced in architecting Data Management solutions with capabilities, such as Data Ingestion, Data Curation, Metadata and Catalog, Data Security, Data Modeling, Data Wrangling
Experienced in architecting and developing Data Warehousing / BI / Reporting solutions using platforms and technologies such as Spark, MapReduce, Teradata, Netezza, Greenplum, etc.
Understanding of required data infrastructure and architecture to support Advanced Analytics, Data Science, AI/ML and Self-Service solutions.
Strong in building data lifecycle management solutions including Data Lake, Data Warehouse, Data Marts, ODS, ELT and ETL, Stream/real-time/Batch processing, CDC, etc.
Healthcare industry experience and knowledge Familiarity with clinical data standards (HL-7 v2, FHIR, DICOM)
Deep technical expertise with service offerings aimed for data and analytics use cases on cloud vendors like AWS, Azure, Google.
Deep technical expertise with Big Data and Cloud technologies such as Hortonworks, Cloudera, AWS, MS Azure, Google Cloud, Visualization Tools, NoSQL, Graph databases
Strong understanding of modern data ingestion/curation/wrangling tools/technologies such as Informatica suite (BDM, EDC, BDQ, PowerExchange, PowerCenter, etc.), Talend suite, Alteryx, Streamsets, Attunity, and BI tools such as Tableau, Power BI, and Qlikview
Understanding of different data modeling techniques such as Relational modeling, Dimensional modeling, Data Vault, etc.
Ability to implement and execute structured decision-making. Acts independently to determine best possible methods and procedures to deliver against Enterprise Data & Analytics assignments
Strong communication, presentation, written and facilitation skills
Superior critical thinking, analytical and problem-solving skills
Ability to interface with stakeholders at any level, executive to engineer
Project management, including developing and managing a technical team, project plan, and budget
Experience developing business case / TCO (total cost of ownership) in support of future state recommendations
Experience in data governance
No direct reports, but wide ranging authority and will provide technical leadership across Data, Research, CCDS, and Technology
Demonstrates fiscal responsibility by effectively using Partners resources
No immediate direct budgetary responsibility but may be responsible for managing funded projects in the future.
Standard office environment, some local travel to sites required
Partners Healthcare System