IT Product Owner/Senior Manager, Data Science Platform - McLean, United States - Freddie Mac

Description

At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Employees, contingent workers and visitors are no longer required to show proof of vaccination to be on-site. Effective January 2023, Freddie Mac's hybrid work arrangement is 3 days in the office (specifically Tuesday, Wednesday & Thursday).

Position Overview:

Are you someone who thrives in an environment that encourages innovation and collaboration? Do you enjoy working on fresh problems and finding creative and effective solutions? Do you have a proven record of leading, implementing and maintaining a data science platform in a high velocity data environment? Are you looking for a career that allows you to work with the latest and greatest technologies? If so, we may have what you are looking for Apply to join Freddie Mac's Enterprise Data Solutions team

Our Impact:

• We build data platforms and capabilities that enable self-service data analytics, reporting, model development, machine learning and support data discovery, quality, lineage and governance
• We manage and enhance Big Data and Data Warehouse platforms, collaborate with teams and leadership within IT and with business partners to advance our technical capabilities and provide data solutions that drive business results
• We create Proof of Concepts (PoCs) to illustrate how cutting-edge technologies can be incorporated and enhance Freddie Mac's technology offerings

Your Impact:

• Build a Data platform product vision and be capable of blending the needs from enterprise wide technical & business groups into a product road map
• Lead the creation of self-service analytics and data science platform
• Lead, design and collaborate with architecture teams to align with Enterprise Data and Application architecture standards
• Develop best practices for data science and modeling
• Build and maintain optimal data pipeline architecture
• Maintain and enhance data exploration architecture, design principles, CI/CD deployment procedures

Qualifications:

• Bachelor's Degree in computer science or IT, Advanced degree preferred
• 10+ years of overall experience
• 5+ years of relevant large-scale enterprise transformation experience as relates to data science and machine learning is preferred
• Familiarity with Python, R, Pandas, Spark and SQL.
• Solid understanding on Statistical and Quantitative modeling techniques
• Exposure to Probability and Decision theory, Operations Research techniques
• In-depth knowledge and delivery of advanced analytical approaches
• Prior experience in the primary or secondary mortgage industry is desirable
• Deep knowledge of various enterprise level Platforms widely used in the industry

Keys to Success in this Role:

• Highly motivated and energetic self-starter with solid organizational and time management skills; proven experience operating at high standards of quality and accuracy within a fast-paced changing environment
• Superb communication, leadership and relationship management skills, that enable partnering with and influencing key customers in an open, collaborative environment at all levels in an organization
• Technical leadership with knowledge of both legacy and modern cloud based distributed systems
• Excellent verbal and written communication skills and ability to succinctly present complex subject matter, specifically translating technology problems/solutions to business partners

Current Freddie Mac employees please apply through the internal career site.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.

The anticipated annualized base salary range for this position is $142,000 to $214,000 and is eligible to participate in the annual incentive program.