Data Product Manager

Data Product Manager

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. If you are passionate about technology and want to learn about new trends that are shaping human behavior, this opportunity is for you.

As a Data Product Manager at Parser, you'll play a critical role in defining and delivering products that drive meaningful business outcomes. You'll be expected to think like an owner, making trade-offs, driving growth, and influencing results across both customer-facing products and internal platforms. You'll help shape the product and services strategy and lead the execution that brings it to life.

This role sits at the intersection of data engineering, analytics, business lines, and product strategy. You will translate business needs into scalable data solutions, partner with engineering to build reliable data pipelines and platforms and work cross-functionally to ensure Parser's data lake supports both operational excellence and modern fintech experiences. You'll help define and ship product enhancements, improve internal processes, and ensure we're building with a sharp focus on customer value, scalability, and compliance. This is a high-impact role where you'll learn how to operate at the intersection of strategy, execution, and financial performance.

The impact you'll make:

• Own the product lifecycle for data initiatives, from ideation to launch and iteration, defining the "what" and "why" behind product decisions with a sharp focus on customer value and business outcomes.
• Develop and maintain a coherent roadmap for data platforms, pipelines, data models, and internal data tools.
• Work closely with analytics, risk, compliance, operations, engineering, and fintech partner teams to understand data needs and translate them into actionable technical requirements.
• Lead the definition and mapping of all partner data integrations, ensuring new fintech partners align with Parser's data models, standards, and platform capabilities.
• Develop and steward clear data specifications that align engineering, analytics, compliance, and partner teams around consistent, scalable data structures.
• Lead initiatives to improve data quality, lineage, and observability, while partnering with governance and security teams to ensure compliant data access, controls, and usage.
• Identify opportunities to modernize the data stack and propose next-generation data solutions that enhance performance, scalability, and reliability.
• Serve as the primary liaison between business users and the Data Engineering team.
• Use quantitative analysis to identify opportunities, validate hypotheses, measure product/feature performance, and inform roadmap decisions.
• Champion experimentation and data-driven iteration across the organization.
• Continuously identify opportunities to improve product performance, user experience, and internal workflows, driving toward constant iteration and improvement.
• Explore and evaluate new data technologies, including AI/ML enablement, lakehouse architectures, automation tooling, and data observability platforms.
• Actively engage with customers, partners, and cross-functional teams to validate ideas, resolve issues, and build transparency and trust.
• Thrive in a fast-paced, evolving environment, demonstrating initiative, managing ambiguity, and pushing ideas forward without waiting for permission.

Technology stack:

Data modeling

Databricks

AI

What you'll bring to us:

• 8+ years of professional work experience, including significant work in data engineering, data product management, data analytics, or platform product management related to financial services.
• Deep understanding of data pipelines, data modeling, modern data architectures, and data governance.
• Hands-on experience with Databricks for data pipeline development, lakehouse architectures, and collaborative analytics.
• Strong analytical and problem-solving skills, with expertise working with SQL, data platforms, and metrics.
• Excellent communication and collaboration skills; able to influence across functions, synthesize complexity, and drive alignment with cross-functional teams.
• Demonstrated ability to translate product strategy into clear, actionable execution plans, including product requirements, prioritization frameworks, and go-to-market coordination.
• Exposure to hypothesis-driven product development, A/B testing, and agile product methodologies.
• Commercially minded, with an understanding of financial and business levers that impact product decisions.
• Experience working in dynamic, fast-paced environments where ambiguity, competing priorities, and learning by doing are the norm.
• Curiosity and drive to explore emerging technologies, especially AI, data platforms, and fintech infrastructure.
• Familiarity with Banking-as-a-Service, embedded finance, or blockchain is a plus, but not required.
• Extensive prior experience in product management, strategy, consulting, or operations is required.
• A genuine interest in financial services and technology, and a strong desire to build products that deliver meaningful outcomes for customers.
• English advanced (Required)