Senior Product Manager - Data Engineering
Job Posting for Senior Product Manager - Data Engineering at Splash Financial
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.
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.
● 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.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
Sign up to receive alerts about other jobs that are on the Senior Product Manager - Data Engineering career path.
Click the checkbox next to the jobs that you are interested in.
Sign up to receive alerts about other jobs with skills like those required for the Senior Product Manager - Data Engineering.
Click the checkbox next to the jobs that you are interested in.
-
Advanced Analytics Skill
-
Income Estimation: $90,752 - $122,300
-
Income Estimation: $92,070 - $120,261
-
-
Business Analytics Skill
-
Income Estimation: $84,089 - $116,470
-
Income Estimation: $85,140 - $131,212
-
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles
Skills Library
Not the job you're looking for? Here are some other Senior Product Manager - Data Engineering jobs in the Cleveland, OH area that may be a better fit.
We don't have any other Senior Product Manager - Data Engineering jobs in the Cleveland, OH area right now.
Senior Project Manager - Civil Engineering
Langan Engineering & Environmental Services, Independence, OH
Alloy Engineering, Berea, OH, Berea, OH