Product Manager - Analytics / Data Products

job summary:

We are seeking a Product Manager - Analytics / Data Products to lead the strategy, development, and commercialization of data and analytics products within FCC.

This role owns the vision, roadmap, and delivery of data-driven products that help customers make better compliance, risk, and legal entity management decisions. You will operate at the intersection of customer needs, product strategy, data assets, engineering execution, and commercialization, building scalable offerings such as APIs, dashboards, embedded insights, and decision-support solutions.

location: Telecommute

job type: Contract

salary: $95.52 - 100.52 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Product Strategy & Customer Value

Define and own the product strategy and roadmap for data and analytics offerings within the FCC portfolio

Identify customer pain points and market opportunities across compliance, lending, legal entity management, and risk workflows

Translate market, customer, and regulatory needs into clear product requirements and prioritized investments

Act as the voice of the customer and ensure solutions deliver measurable business value

Data Product Development & Delivery

Lead the end-to-end lifecycle of data as a product, including sourcing, onboarding, structuring, packaging, delivery, and optimization

Develop and deliver scalable data products such as APIs, data feeds, dashboards, reporting solutions, and embedded insights

Partner with engineering, data science, and design teams to ensure products are scalable, reliable, and user-centric

Ensure strong standards for data quality, governance, metadata, and performance

Data Partnerships & Ecosystem

Define and execute strategies for data acquisition and external partnerships to enhance product value

Evaluate, onboard, and integrate third-party data sources in alignment with product and business objectives

Collaborate with external data providers and internal stakeholders to expand data ecosystem and distribution channels

Commercialization & Data Monetization

Support and drive pricing, packaging, licensing, and go-to-market strategies for data-driven offerings

Advance data monetization through direct sales, embedded products, and partner-led distribution models

Define and track KPIs tied to revenue growth, customer adoption, and product performance

Market Insight & Cross-Functional Leadership

Monitor competitive landscape and emerging trends in data, analytics, and information services markets

Partner cross-functionally with Product, Technology, Data Science, Commercial, Legal, and Compliance teams

Communicate product vision, priorities, and outcomes to senior stakeholders and drive alignment across the organization

TECHNICAL SKILLS

Must Have

- 8+ years of experience in product management, data products, analytics products, or a related B2B SaaS or information-services role

- Experience working with structured and unstructured data, APIs, analytics platforms, or data ecosystems

- Familiarity with data monetization models, data licensing, or information services businesses

Nice To Have

- Bachelor's degree in business, computer science, engineering, data analytics, or related field

- Experience in financial services, fintech, Reg Tech, compliance, lending, or legal entity management domains

- Exposure to AI/ML-driven analytics or advanced data use cases

qualifications:

8+ years of experience in product management, data products, analytics products, or a related B2B SaaS or information-services role

Demonstrated ability to translate customer, market, and regulatory needs into product strategy and measurable business outcomes

Experience working with structured and unstructured data, APIs, analytics platforms, or data ecosystems

Strong cross-functional collaboration skills in agile product development environments

Commercial mindset with expertise in product launches, pricing, packaging, or go-to-market execution

Experience in financial services, fintech, RegTech, compliance, lending, or legal entity management domains

Familiarity with data monetization models, data licensing, or information services businesses

Exposure to AI/ML-driven analytics or advanced data use cases

Bachelor's degree in business, computer science, engineering, data analytics, or related field

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Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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