Lead Data Product Manager (Hybrid)
Washington, DC, United States
Fannie Mae
We facilitate equitable and sustainable access to homeownership and quality, affordable rental housing across America.Company Description
At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.
Job Description
As a valued contributor to our team, you will advise the team on processes and methods for building, developing, or designing functionality for a product, as well as create processes and procedures for the ongoing implementation, enhancement, or maintenance of existing products.
As a Data Product Manager in the Capital Markets Product team, you will take ownership for defining and operationalizing some of the company’s most important data. You will work closely with data engineers, data scientists, analysts, technical architects, and other cross functional teams to create integrated roadmaps, prioritize development, define metrics and key results and deliver scalable, resilient and quality Data Products that power the company’s most critical experiences.
THE IMPACT YOU WILL MAKE
The Senior Data Product Manger role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
Responsibilities:
- Drive the definition, design and operationalization of data products that maximize leverage for the business and serve the needs of your internal and external customers
- Own and prioritize the long-term (12-24mo) roadmap for your product(s), working with a cross-functional stakeholder group balancing priorities based on impact and risk to deliver winning customer outcomes
- Develop a robust integration strategy that demonstrates customer-based thinking to make the lives of internal and external customers easier by delivering scalable, reliable and consistently defined (standardized) data solutions
- Defines OKRs for your Data Product with a metrics-driven strategy to maximize value of your products and iteratively adjust and refining roadmap based on inputs
- Immerse yourself in understanding your customer(s) by employing empathy and design thinking to build a customer-backed product roadmap that drives business value
- Serves as the internal and external subject matter expert for your product and its role within the organization with accountability for owning the definition of data, including its usage and constraints
- Partner closely with technology and data experts to design robust solutions, shaping the business capabilities and associated architecture necessary to drive the product vision
- Leverage subject matter expertise in facilitating discovery of customer needs, facilitating adoption of data products, and advising on the necessary investments needed to deliver scalable solutions/tooling
- Mentor product owners and technical partners, empowering local and cross-functional teams to do their best work
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:
- At least 6 years of relevant experience in the fields of data engineering, data science, data modeling, data architecture, etc
- At least 6 years of experience and excellent knowledge of digital tools and services, cloud environments, automation, and operational AI/ML
- Expertise in Digital Transformation and platform thinking.
- Understanding of and experience in designing products which can rapidly respond to changes in regulatory needs and industry mandates.
- At least 4 years of experience working on the core product platforms that power digital experiences
- Strong data analysis skills (e.g., SQL, python, R) along with an understanding of technical patterns used to consume and process data at scale (e.g., graphQL, spark)
- Demonstrated expertise with industry leading data infrastructure and tooling (e.g. AWS, Redshift, Snowflake, Tableau, etc)
- Demonstrated expertise of how to develop and maintain cloud integrations and API architecture for data products
- Thrive at the intersection of data and business strategy - able to understand complex business intent and translate strategy into data requirements that promote consistent, reusable and interoperable data consumption
- Ability to simplify technical complexity and drive well-educated business decisions across stakeholders
- Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
- Expertise and demonstrated success in creating digital platforms that are readily scalable and re-usable, improving time to market.
- Excellent problem solving skills
Desired Experiences:
- Bachelor’s degree or equivalent
- At least 6 years of experience in customer centric product development
- Experience in traditional ML and deep learning techniques, AI integration strategy, and deployment tools and environments
- Previous experience in managing technical or solutions teams and delivering complex AI/ML and analytics workloads
- Possesses Strong EQ (emotional quotient) and builds strong relationships inside the organization.
- Has an acute understanding of how to negotiate through obstacles to launch a successful product and achieve desired outcomes.
- Team Player. You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in data product development.
Additional Information
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is primarily a hybrid company. We embrace flexibility for our employees while providing office space for in-person work and collaboration. This role is classified as Hybrid. If you speak with a Recruiter, they will provide you with more information about the definition of this classification.
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 careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Classification Data analysis Deep Learning Engineering Finance GraphQL Machine Learning OKR Python R Redshift Snowflake Spark SQL Tableau
Perks/benefits: Career development Flex hours Health care Home office stipend
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