Senior Product Manager, Data
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value due to a competitive salary range, significant responsibilities in product development, and opportunities to innovate in the fintech space.
- Competitive salary: $144,111–$216,166/year
- Opportunity to work in fintech with a focus on data products
- Significant career growth potential through innovative projects
- High requirements for specialized experience
Pros
- Competitive salary ($144,111–$216,166/year) for product manager roles
- Engagement with innovative AI/ML applications within fintech
- Collaboration with diverse teams enhancing professional development
Cons
- Highly specialized skills required, limiting candidate pool
- Fast-paced environment may lead to work intensity
- Potential for unclear expectations without structured onboarding
Who it's for
Mid to Senior Level • Remote
Good fit
- Experienced product managers
- Professionals with data analytics skills
- Individuals seeking to innovate in the fintech industry
Not recommended for
- Entry-level candidates without fintech exposure
- Those looking for fully structured roles with minimal responsibilities
- Professionals not comfortable with remote work dynamics
Motivation fit
Key skills
About the job
• Product Ownership: Develop and execute a product strategy for data products that aligns with MANTL’s business objectives. Manage the product lifecycle from concept to launch, ensuring continued growth and adoption. Own the evolution of analytics dashboards, reports, and other key data tools used by financial institutions to track performance.
• Customer-Centric Development: Collaborate with customers, business analysts, and internal stakeholders to identify use cases and pain points.
• Lead efforts to enhance self-service capabilities through data access products. Explore opportunities to enhance data integrations through UI improvements within the admin console.
• AI & Data Integration Innovation: Identify and develop practical AI/ML applications that complement our data products. Work closely with engineering to ensure seamless integration of APIs and data flows.
• Cross-Functional Collaboration: Partner with data engineering and BI teams to ensure alignment on data infrastructure needs. Collaborate with design, product, and development teams to enhance the usability and functionality of data tools. Drive cross-functional initiatives to align product efforts with business priorities and customer needs.
• Metrics & Performance Management: Define key success metrics and monitor product performance to make data-driven decisions. Use customer feedback and performance data to iterate and improve product offerings continuously.
Requirements
- 4-8 years of product management experience, preferably with a focus on data products or analytics platforms.
- Prior experience in fintech, SaaS, or data-heavy environments, ideally working with or at financial institutions.
- Strong collaboration experience with data engineering, BI teams, and business analysts.
- Working knowledge of SQL
- Knowledge of BI tools (e.g., Looker, Tableau, Power BI) and data pipelines (ETL/ELT processes).
- Familiarity with data governance, privacy, and security standards (e.g., GDPR, SOC).
- Comfortable with AI/ML concepts and identifying opportunities for innovative applications.
- Strong understanding of agile methodologies and the product development lifecycle (PDLC).
- Excellent problem-solving skills with the ability to simplify complexity and provide clear direction.
- Exceptional communication and collaboration skills to engage stakeholders across functions.
- A customer-first mentality with a passion for delivering exceptional user experiences.
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- product management
- data products
- analytics platforms
- SQL
- BI tools
- ETL processes
- data governance
- AI/ML applications
- agile methodologies
- product development lifecycle
Soft Skills
- collaboration
- problem-solving
- communication
- customer-centric
- stakeholder engagement
- cross-functional teamwork
- data-driven decision making
- user experience focus
- adaptability
- leadership
