Fellow, Data & Data Science Architecture

Fellow, Data & Data Science Architecture

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Job Description

The Fellow of Data & Data Sciences Architecture is responsible for leading architectural decisions for the Data and Machine Learningteams.The individual must have deep understanding of technical architecture and have implemented operational cloud capabilities and solutionsin AWSor other public cloudproviders.This person will contribute to prominent and externally visible initiativesthat contribute to Fannie’s overall digital transformation efforts.This leader will also contributethought leadershipacross a variety of forums, inclusive of white papers andindustryconferences.

KEY RESPONSIBILITIES

• Develop Fannie’s data and data sciences technical strategy and planning by creating solutions and integrating functions of various systems and technology interfaces
• Serve as a thought leader in the data and data sciences architecture space through consistent research and practice; bridge outside, industry best practices into Fannie Mae’s technology environment
• Evangelize best practices around data architecture at Fannie and serve as a spokesperson for Fannie in the external market
• Provide architectural leadership for Data and Data Science, facing off with the Single-Family, Multi-Family, Capital Market, and Finance Portfolio Architecture leaders as well as business and engineering teams
• Collaborate cross-functionally within the architecture and other technology departments; influence key stakeholders to ensure effective implementation, architecture compliance, and conflict resolution
• Plan and design methods for the optimization and integration of various technology platforms, policies, and principles that lead to target-state implementation
• Apply a risk and governance lens when building architectural solutions; build architectural strategies while navigating a highly regulated environment

Qualifications

IDEAL EXPERIENCE

• 15 or more years of related experience;10+years in a leadership role
• Demonstrated work experience intechnology architecture strategy in a fast-paced, complex, and Agile-centric techenvironment
• Experience in driving architecture and business innovation thoughtprocess
• Ideally experience in the Financial Services sectoror other industries(i.e.Healthcare)with large, complex data sets
• Experience in Data Streaming, Data Lakes, Data Lake Access, Data Governance, Model Governance, Feature Engineering, ProgressionPipelines, etc.
• Strong communication and presentation skills;proven ability to persuadeothers by supporting ideas with logical argumentsand throughdata
• Experience in coaching and mentoringexperiencedArchitects
• Bachelor's degree or Equivalent Experience;aMaster’s or a PhD in a technical subject matter highly preferred

Additional Information

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [emailprotected]