CSI Logo

CSI

Product Manager, Financial Data Solutions

Reposted 3 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Owns the strategy, roadmap, development, and adoption of financial data products and APIs. Partners with data science and engineering to integrate predictive and machine-learning models into scalable, trustworthy capabilities. Defines quality metrics, requirements, documentation, and support models while ensuring privacy, security, regulatory compliance, and downstream adoption across consumer and business banking products.
The summary above was generated by AI

Job Description:

This role owns data products that leverage rich financial transaction data to generate meaningful consumer and business insights. These products are the foundational intelligence that powers our broader digital banking and engagement solutions, which means your work has outsized impact on what the entire organization can build on top of it. You will partner closely with data science and engineering to take complex data and turn it into reliable, high-value capabilities and you'll be trusted to drive that work forward independently.

Product Strategy & Roadmap

  • Own and evolve a cohesive strategy and roadmap for data products that turn large-scale financial transaction data into high-value consumer and business insights.

  • Conduct market and client research to understand the financial goals and pain points behind the data, and translate them into a prioritized roadmap of high-impact capabilities.

  • Make clear prioritization and trade-off decisions across competing opportunities, operating independently once direction is set.

Data Solutions & Platform Delivery

  • Drive the development of data products that surface meaningful, decision-ready insights for consumers and businesses.

  • Develop forward-looking, predictive data products that anticipate the financial needs of consumers and businesses.

  • Productize data and APIs so other product teams can build engaging, data-driven experiences on top of them.

Advanced Analytics & Model Integration

  • Lead the integration of predictive and machine-learning models into the data product suite, partnering with Data Science and Engineering to move capabilities from proof of concept to scalable production features.

  • Define the quality metrics that matter most, and hold the bar for deterministic, trustworthy outputs.

  • Translate complex, ambiguous data problems into clear requirements for technical teams.

Cross-Team Enablement & Adoption

  • Partner with product and engineering teams across the organization to ensure new data capabilities are understood, trusted, and adopted downstream.

  • Define clear contracts, documentation, and support models so other teams can build on your data products with confidence.

  • Monitor usage and adoption of your products; proactively identify and remove barriers to adoption.

Governance & Compliance

  • Champion data quality, accuracy, and trust as first-class product attributes.

  • Ensure data products meet the privacy, security, and regulatory expectations of a financial-services environment, partnering with risk and compliance stakeholders.

  • Drive the evolution from descriptive data outputs to prescriptive, decision-ready capabilities grounded in a deep understanding of customer needs.

Requirements:

  • 7+ years of product management experience, with a strong emphasis on data-centric or ML-powered products.

  • Financial services, banking, or payments industry experience is required.

  • Comfort treating data and APIs as products, with strong SQL and data fluency.

  • A track record partnering with data science and engineering teams to ship data-driven capabilities from concept to production.

  • A Bachelor's degree in a quantitative, technical, or business discipline, with a Master's degree a plus.

Preferred Qualifications:

  • Experience with predictive or forecasting data products.

  • Background spanning both consumer and small-business financial products.

  • Familiarity with modern cloud data architectures and the modern data stack (e.g., Snowflake, dbt).

As a forward-thinking software provider, Computer Services, Inc. (CSI) helps community and regional financial institutions solve their customers’ needs through open and flexible technologies. In addition to its award-winning core banking platform, these include the latest in lending, digital banking, payments, financial crime prevention and cybersecurity. Building on its 60-year track record of personalized service, CSI is shaping the future of banking and empowering its customers to rival their competition. For more information about CSI, visit www.csiweb.com 

CSI provides rewarding and challenging career opportunities for our employees. When determining your pay, we consider various factors such as your skills, qualifications, experience and location. Along with a competitive salary, this position includes eligibility for incentive awards based on both individual and business performance. We also offer a comprehensive range of benefits. To learn more about our benefits, visit: Benefits Summary

CSI is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, physical and mental disability, marital status, veteran status, or any other characteristic protected by applicable law. If you need an accommodation during the recruitment process, please email us at [email protected] and we will work with you to meet your accessibility needs.

For applicants residing in California, please read Privacy Notice for California Residents | CSI (csiweb.com)

Visa Sponsorship: We are unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for sponsorship now or in the future.

Similar Jobs

18 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
116K-165K Annually
Senior level
116K-165K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Develop production LLM-powered agents and machine learning solutions for customer risk identification and threat detection. Translate threat-research methods into agent logic, build data requirements and pipelines, evaluate precision and recall, backtest and tune models, and deploy and monitor reliable solutions using CI/CD. Collaborate with threat researchers and data engineers while addressing production reliability, observability, data quality, cost, latency, and accuracy.
Top Skills: AthenaAWSCi/CdContainerizationElasticsearchInfrastructure As CodeLangchainLanggraphLlmsMachine LearningNumpyOpensearchPandasPolarsPrestoPythonSQL
28 Minutes Ago
Remote or Hybrid
94K-125K Annually
Mid level
94K-125K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech • Medical Devices & Diagnostics
Drive territory growth and meet sales goals for Galleri, GRAIL’s multi-cancer early detection product. Prospect and onboard primary care practices, engage healthcare providers and staff through consultative selling, deliver clinical education and value-based presentations, and collaborate with medical, marketing, billing, and customer-facing teams. Analyze territory and customer trends, maintain CRM documentation, support promotional activities, and build long-term provider relationships while ensuring compliance with healthcare standards.
Top Skills: Crm SystemsGoogle SuiteMulti-Cancer Early Detection (Mced) TechnologyNext-Generation Sequencing (Ngs)
28 Minutes Ago
In-Office or Remote
USA
Senior level
Senior level
Aerospace • Hardware • Robotics • Software
Build Revel’s security program from the ground up, securing its product, infrastructure, cloud, on-premises, hardware-integrated environments, and software delivery pipelines. Responsibilities include threat modeling, security architecture, Infrastructure as Code, detection and incident response, vulnerability management, compliance with ITAR/NIST/CUI/CMMC requirements, customer security reviews, and security enablement. The role will establish foundational processes and may eventually lead a growing security team.
Top Skills: AWSAws CdkAws GovcloudAzure GovernmentCi/CdCmmcCrowdstrikeCuiDisa StigsDockerEdrFedrampGoInfrastructure As CodeItarKubernetesLinuxNist 800-171Nist 800-53PantherPythonRmfRustSentineloneSIEMSplunkTerraform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account