Quick Overview
Job Description
Seeking a Senior Product Manager, Platform Data Solutions for hybrid w2 contract role in New York city NY .
The ideal candidate is a senior product leader with strong technical depth, financial data experience, and a proven ability to bridge business strategy and technology execution. They are comfortable leading complex platform initiatives, influencing across multiple teams, and driving measurable business outcomes while operating within a product-led and customer-focused organization.
If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for hybrid work , skill stack and LinkedIn.
Appreciate referrals.
Location: NYC ,NY – hybrid min 3 days onsite
Description:
Senior Product Manager, Platform Data Solutions
Role Overview
Client is seeking an experienced Senior Product Manager to join our Platform Solutions team and help shape the future of data delivery across our global platform ecosystem.
This is a strategic and highly visible role focused on defining, delivering, and scaling content distribution solutions powered by Client’s Data as a Service (DaaS) platform. You will work at the intersection of product, technology, content, and customer needs to drive the development of innovative data solutions that support evolving market demands and emerging technologies.
The successful candidate will combine strong product management expertise with a technical mindset, enabling them to translate complex business requirements into scalable platform capabilities. You will lead cross-functional initiatives from concept through launch, influencing stakeholders across a global organization while driving adoption of modern cloud-based distribution solutions.
This role offers a unique opportunity to help modernize how Client’s content is accessed, distributed, and consumed by customers worldwide.
What You'll Be Doing
Product Strategy & Solution Development
• Define and drive product capabilities that enable scalable distribution of structured and unstructured content across Client's platform ecosystem.
• Partner with business, commercial, and community teams to understand customer use cases and translate them into platform solutions.
• Develop and maintain product roadmaps aligned to strategic business priorities and customer outcomes.
• Identify opportunities to modernize legacy distribution models and accelerate adoption of platform-based solutions.
Platform & Technology Leadership
• Collaborate with engineering teams to deliver capabilities that provide access to Client's portfolio of content through data feeds, APIs, managed databases, and cloud-based services.
• Drive the solutions integration with screening, filtering, discovery, and data access capabilities that enhance customer experience.
• Leverage modern cloud technologies and AI-enabled solutions to improve scalability, flexibility, and operational efficiency.
• Balance business value, technical feasibility, and operational considerations when prioritizing initiatives.
Delivery & Execution
• Lead end-to-end execution of complex cross-functional programs from requirements definition through product release.
• Partner with internal and external technology providers to ensure successful delivery of platform capabilities.
• Manage risks, dependencies, and delivery challenges across a globally distributed team.
• Establish measurable success criteria and key performance indicators to track product outcomes.
Stakeholder Management & Governance
• Collaborate with Content Governance teams to define and implement standards that support consistent and compliant content distribution.
• Influence senior stakeholders across Product, Technology, Operations, Data, and Commercial teams.
• Build strong partnerships with internal and external content providers and distributors to streamline content onboarding and delivery processes.
• Drive alignment across business functions to ensure strategic initiatives are executed successfully.
Continuous Improvement
• Evaluate existing processes, operating models, and workflows to enhance effectiveness and reduce operational risk.
• Champion best practices in product management, agile delivery, and platform-centric thinking.
• Identify opportunities to leverage automation and AI to improve product development, reporting, and operational efficiency.
Experience
• 10+ years of experience in Product Management, Technical Product Management, Program Management, or a related discipline.
• Proven experience delivering enterprise-scale technology products and data platforms.
• Strong understanding of software development lifecycles and modern product delivery methodologies.
• Experience working in highly matrixed organizations with multiple stakeholder groups.
• Experience managing complex technology initiatives from concept to production release.
Domain Knowledge
• Knowledge of financial markets, market data, content distribution, or data products.
• Understanding of data platforms, APIs, cloud technologies, and digital distribution models.
• Familiarity with content management, publishing, or large-scale data delivery ecosystems is highly desirable.
Skills & Capabilities
• Exceptional analytical and problem-solving skills.
• Strong technical aptitude with the ability to engage effectively with engineering teams.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to influence decision-making across organizational boundaries.
• Strong organizational discipline with excellent attention to detail.
• Demonstrated ability to prioritize effectively in a fast-paced environment.
• Experience using AI-powered tools and techniques to improve productivity, product strategy, or customer outcomes is a strong advantage.
Leadership Characteristics
Successful candidates will:
• Think strategically while remaining execution-focused.
• Demonstrate a customer-centric approach to problem solving.
• Bring a collaborative mindset and thrive in cross-functional environments.
• Drive change through influence and strong stakeholder engagement.
• Balance innovation with operational excellence and risk management.
• Use data-driven decision-making to guide priorities and investments.
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