100% Remote – Product Manager (Analytics / Data Products)
- Location: No Location Set
- Remote: Remote
- Type: Contract
- Job #35013
Myticas's direct client is currently seeking a Product Manager – Analytics / Data Products for a 100% Remote 12 Months contract position.
100% remote, must work EST/CST hours.
Duration: 12+ Months (potential to convert/extend)
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.
Description
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.
Duties and Responsibilities:
- 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
- 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
- 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 the data ecosystem and distribution channels
- 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
- 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
Required Skills and Experience:
- 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