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Business Management
Senior Product Manager – Data Engineering at Splash Financial Full Time
ABOUT OUR COMPANY:
The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.Over the years, our mission has expanded to include helping people with other forms of debt – such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $4+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $70 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners and more.
But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..
ABOUT OUR WORKPLACE:
Splash is remote-first, and proud of it. We spend our days creating ways to simplify financial products, then get them into the hands of people who need help. Right now, we’re focused on developing financial technologies that fundamentally change the way the industry lends. And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups, access to community and engagement tools. And although we’ve been around since 2013, we still love to think like a start-up — a place that empowers good people to do great things, fast.
We’re friendly, folksy, and have Slack channels for both #kids-and-pets and #food. We’re good people who want to make a difference in the financial landscape, and we approach tackling challenges with creativity, passion and urgency.
We’re friendly, folksy, and have Slack channels for both #kids-and-pets and #food. We’re good people who want to make a difference in the financial landscape, and we approach tackling challenges with creativity, passion and urgency.
ABOUT THE ROLE:
As a Senior Product Manager at Splash, you will play a pivotal role in driving strategic initiatives
and shaping the future of our data engineering, advanced analytics, and machine learning
endeavors. Leveraging your expertise and visionary leadership, you will spearhead efforts to
harness the power of data to drive business growth and innovation.
and shaping the future of our data engineering, advanced analytics, and machine learning
endeavors. Leveraging your expertise and visionary leadership, you will spearhead efforts to
harness the power of data to drive business growth and innovation.
WHAT YOU’LL DO AT SPLASH:
● Strategic Leadership: Ability to wear multiple hats as a strategic visionary leader in the
field of data engineering, advanced analytics, and machine learning.
● Market Research: Conduct thorough research on fintech data science industry trends to
identify opportunities for leveraging advanced analytics, artificial intelligence, and
machine learning to address specific needs.
field of data engineering, advanced analytics, and machine learning.
● Market Research: Conduct thorough research on fintech data science industry trends to
identify opportunities for leveraging advanced analytics, artificial intelligence, and
machine learning to address specific needs.
● Roadmap Development: Develop a compelling roadmap for advanced analytics and
machine learning, outlining the future and long-term strategy for data science within the
organization.
● Prioritization and Coordination: Prioritize work for data analytics, engineering, and data
science teams, and articulate any roadmap dependencies across other engineering
branches.
● Product Backlog Management: Manage and articulate a product backlog for data
science and data engineering teams, ensuring alignment with overall business goals.
● Technical Proficiency: Possess deep understanding and technical proficiency in data
engineering, advanced analytics, and machine learning to set up Minimum Viable
Products (MVPs) and differentiate between value-adding initiatives and those with
minimal impact.
● Domain Knowledge: Demonstrate business domain knowledge in the fintech industry or
similar domains.
● Autonomous Impact: Thrive on the opportunity to work autonomously, driving impactful
initiatives in a fast-growing, ever-evolving business environment.
● Technical Skills: Extensive knowledge in SQL, business intelligence tools (e.g., Tableau,
Power BI, Sisense), Python and relevant packages for machine learning, and familiarity
with cloud AWS infrastructure, data engineering, and warehousing tools (e.g.,
Snowflake, Redshift, AWS Firehose, GitHub, and data build tools like dbt).
machine learning, outlining the future and long-term strategy for data science within the
organization.
● Prioritization and Coordination: Prioritize work for data analytics, engineering, and data
science teams, and articulate any roadmap dependencies across other engineering
branches.
● Product Backlog Management: Manage and articulate a product backlog for data
science and data engineering teams, ensuring alignment with overall business goals.
● Technical Proficiency: Possess deep understanding and technical proficiency in data
engineering, advanced analytics, and machine learning to set up Minimum Viable
Products (MVPs) and differentiate between value-adding initiatives and those with
minimal impact.
● Domain Knowledge: Demonstrate business domain knowledge in the fintech industry or
similar domains.
● Autonomous Impact: Thrive on the opportunity to work autonomously, driving impactful
initiatives in a fast-growing, ever-evolving business environment.
● Technical Skills: Extensive knowledge in SQL, business intelligence tools (e.g., Tableau,
Power BI, Sisense), Python and relevant packages for machine learning, and familiarity
with cloud AWS infrastructure, data engineering, and warehousing tools (e.g.,
Snowflake, Redshift, AWS Firehose, GitHub, and data build tools like dbt).
WHAT YOU’LL BRING TO SPLASH:
● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a
related field.
● Proven experience (5+ years) in a Senior Product Management role with a focus on data
engineering, advanced analytics, and machine learning.
● Strong track record of successfully developing and executing strategic roadmaps for
data science initiatives.
● Exceptional communication and leadership skills, with the ability to effectively prioritize
and coordinate cross-functional teams.
● Previous experience in the fintech industry or similar domain is highly desirable.
● Ability to thrive in a fast-paced, dynamic environment and drive autonomous impact.
related field.
● Proven experience (5+ years) in a Senior Product Management role with a focus on data
engineering, advanced analytics, and machine learning.
● Strong track record of successfully developing and executing strategic roadmaps for
data science initiatives.
● Exceptional communication and leadership skills, with the ability to effectively prioritize
and coordinate cross-functional teams.
● Previous experience in the fintech industry or similar domain is highly desirable.
● Ability to thrive in a fast-paced, dynamic environment and drive autonomous impact.
BENEFITS:
- Comprehensive and affordable insurance benefits
- Unlimited paid time off policy
- 401(k) enrollment
- 9 paid company holidays
- Paid parental leave
Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.
