Humana

About Humana

 

Job Category:

Technology - Architecture

Country:

United States

Postal Code:

40201

Approximate Salary:

Not Specified

Position Type:

Full time

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Senior Enterprise Architect - Data Analytics

Humana - Louisville, Kentucky

Posted: 08/3/2018

Description

The Senior Enterprise Architect translates business needs into technical systems solutions and architectural roadmaps. The Senior Enterprise Architect work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Senior Enterprise Architect integrates hardware, software and network interfaces to form a system. Recommends products that will evolve the organization's technical infrastructure. Provides leadership in developing the organization's technical and architectural staff. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

  • Define strategies for modernizing and transforming how the Enterprise Data Fabric makes data available for the enterprise a variety of use cases including but not limited to real-time APIs, machine learning, reporting & analytics, automation, operational processes & decision making.
  • Lead efforts to identify and evaluate emerging and potentially disruptive technology to provide prescriptive guidance to our solution and data engineering team on how to adopt and leverage the technology in new solution patterns.
  • Provide thought leadership and new perspectives on how to leverage cloud services and capabilities.
  • Define strategic architecture blueprints depicting target end state architecture to guide the delivery of enterprise capabilities aligned to an over-arching vision.
  • Provide thought leadership in identifying industry trends in the domain of data and analytics and driving toward evaluation of those trends for Humana fit.
  • Work across organizational and role boundaries to facilitate the creation of future state roadmaps illustrating when and how enterprise capabilities will be available.
  • Align IT architecture technology strategy and frameworks to enable the company's business strategy and goals, by providing guidance and building consensus among and across stakeholders.
  • Facilitate Architecture Collaboratives working across all architect roles within the enterprise including solution and domain architect(s) to provide a consensus-based enterprise solution that is scalable, adaptable, and in synchronization with ever-changing business needs.
  • Manage risk of information and IT assets through appropriate standards and security policies.

               

Required Qualifications

  • Ability to partner within and across teams to produce strategies, blueprints, and other reference architecture as required
  • Experience architecting information management technology solutions inclusive of modern data / cloud technologies and platforms in support of both real-time and higher latency operational and analytical use cases.
  • Experience with:
    • Enterprise data pipeline management and integration technologies and platforms
    • Crafting enterprise-wide strategies for enabling delivery teams with technologies, capabilities, and APIs
    • Operational Data Integration for real-time APIs
    • Big Data Integration & Analytics
    • NoSQL and other modern data stores
    • API management platforms & providing / consuming RESTful APIs
    • Message-based integration – i.e. MQ, Kafka, RabbitMQ, etc
  • Strong communication skills for creating and sharing presentations to multiple levels of audiences of stakeholders – i.e. senior executives in business and IT, architects, developers, etc.
  • Bachelor’s degree in Computer Science or a related field

Preferred Qualifications

  • Experience with enabling broad enterprise adoption of cloud-based managed services
  • Experience with Machine Learning and required data prep such as feature engineering

Additional Information

Scheduled Weekly Hours

40

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