Aetna’s mandate is to transform health and wellness via products that enable consumer engagement and best-in-class experience. This team is responsible for Aetna’s digital transformation and all digital products
; as well as the development and execution of the digital roadmap. A key part of the responsibility is to build an integrated platform that enables the delivery of products to drive engagement and revolutionize health and wellness. We want you to be apart of the team that will build this next generation platform.
Leveraging your expertise in Big Data, IoT, Native Cloud, Application Development, Machine Learning and Deep Learning
, you will join a product team that is building disruptive cloud platform that will transform the healthcare industry and improve the lives of hundreds of millions of people. Aetna Digital is a highly energetic, highly collaborative team that operates as a startup within the Aetna Enterprise. We want you to bring your talent and expertise to drive the change the is desperately needed within the healthcare industry.
Come Join Aetna Digital!
67846 Fundamental Components:
Aetna Digital is looking for a Architect Advisor (Data) who will lead the data architecture and design of our health and wellness digital platform. In this role you will interface with engineering teams, product management, and business units to define and deliver robust, scalable and agile architectures in support of the rapidly growing portfolio of digital wellness capabilities. This platform will include massive big data capabilities and analytics, machine learning, and sophisticated decision logic that will power Aetna’s next generation digital health and wellness offerings.
This role focuses on the data architecture, modelling, and metadata across the Digital platform, supporting health and wellness domain specific data models, services and workflows that app developers and integrators will use to achieve their healthcare-centric business outcomes. This includes guidance and oversight on domain-driven design and data interchange between applications on the platform and with corporate and third party data sources, including clinical data and IoT device data, both commercial and medical. This role will focus on both transactional and analytical data modelling and metadata, and how to plan for a coherent metadata strategy across the Digital application and data portfolio. This strategy will balance the need for expeditious application delivery, and performance of data access and persistence, while also planning for data model evolution and for facilities to data use and storage to be secure, compliant, and governed. This will include multi-tenancy and data tenancy concerns, as well as strategies for meeting privacy requirements such as data use consent and digital scrubbing.
The role will also provide guidance and architectural support on how to make data actionable for decisioning across the Digital platform. This will include developing interfaces and architecture for presenting data as facts to decisioning components, and developing shared patterns to enable decisioning services such as rules engines, BPM workflows, complex event processing, machine learning models, and similar decisioning capabilities. This role may also provide support for data provenance and machine engineering needs in support of machine learning model development processes.
This role will require strategic thinking and vision, excellent coalition building skills, solid technical knowledge up and down the stack, outstanding communication skills.
In this role you will:
•Lead the architecture for data modelling, working with multiple scrum teams, engineering managers and architects to deliver a well-architected, principled technology platform;
•Provide deep domain knowledge on the technical domain and a range of technologies within that technical area;
•Drive the creation of technical roadmaps and vision for the technology platform, in alignment with product vision, while working with Product Management to ensure that larger-scale feature roadmaps are aligned with the technical vision and roadmap;
•Build and nurture an effective architecture community of practice, and drive the definition of design principles and best practices across the technical platform;
•Mentor and manage technical architects;
•Guide and develop communication strategies for persuading executive stakeholders and driving adoption of architectural patterns and technology roadmaps;
•Support vendor management activities with key vendors such as cloud providers, and drive early adoption activities and vendor technology roadmap discussions;
•Management the relationship between Enterprise Architecture and Aetna Digital for services related to the technical domain;
•Facilitate technical training and learning opportunities for architects and engineers within the technical domain. Background Experience:
•15+ years of recent and related experience working with data modelling and metadata in a complex, data-driven environments large scale data installations;
•Deep knowledge of architecture, frameworks and methodologies for working with and modelling large data sets, such as HADOOP, Apache Spark, and NoSQL databases;
•Deep understanding and experience with a range of database and storage types (RDBMS, NoSQL, document databases, Hadoop and object storage, graph databases) and how to choose the right underlying platform based on data model and access patterns;
•Knowledge of architectures and technologies for ingestion, transformation, indexing, and tracking large data streams from disparate sources and formats;
•Experience delivering data solutions that meet HIPAA or similar compliance requirements, and deep insight into the enterprise security and compliance infrastructure and processes needed to meet those requirements;
•Knowledge and experience with data brokering and provenance architectures that unify data access and management across data lakes in different regions and in different types and formats;
•Experience with decisioning architectures and technologies, and designing systems that provide insights into production ready decisioning capabilities;
•Vendor assessment and choice;
•Agile methods and practices, including scaled agile frameworks;
•Success persuading and influencing senior stakeholders on vendor choice and technical roadmaps;
•A proven track record of driving effective, secure and scalable architectures into production through leadership and collaboration.
•Bachelor's degree or equivalent experience; graduate degree in engineering or business strongly preferred. Additional Job Information:
Dollar-for-dollar match up-to 5% of your 401(k) contributions!
Health care (HSA/FSA), dental, vision benefits, PTO
Gym / Showers
A top of the line MacBook Pro
Free Parking (Burlington, MA office)
Aetna-sponsored refreshments, Friday lunches, etc.
Reimbursement also available for additional Certification, Training & Conferences Percent of Travel Required:
0 - 10% EEO Statement:
Aetna is an Equal Opportunity, Affirmative Action Employer Benefit Eligibility:
Benefit eligibility may vary by position. Candidate Privacy Information:
Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.