Product Manager

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Develop the product strategy and long-term vision for the Enterprise Ontology Platform.

• Manage the complete product roadmap, balancing short-term business objectives with long-term platform scalability.

• Convert ambiguous or conflicting business requirements into clear product specifications, user stories, and acceptance criteria.

• Oversee the backlog using a data-driven methodology while balancing feature development, technical debt, and production support.

• Establish and monitor platform success metrics to guide prioritization efforts.

• Act as the main point of contact between the Ontology Platform and the engineering leadership of the Foundational Data Platform.

• Identify capability gaps and conduct build-versus-leverage evaluations.

• Clearly articulate foundational platform requirements and drive prioritization across various roadmaps.

• Monitor platform dependencies and proactively highlight any delivery risks.

• Ensure a versatile and extensible framework for business-managed ontology definitions.

• Collaborate with the Engineering Lead to shape configuration workflows and interaction models.

• Design workflows for identifying, prioritizing, and resolving data disruptions.

• Partner with Data Governance and Compliance teams to ensure alignment with data standards and regulatory requirements.

• Collect requirements from business stakeholders, facilitate alignment, and set expectations for delivery.

• Communicate the roadmap, trade-offs, and progress updates to both business and senior stakeholders.

• Engage in technical design discussions, representing the product and business perspective.

• Track dependencies originating from business teams relating to ontology definitions, mappings, and rules or criteria for breaks.

• Integrate business-dependency timelines into the product roadmap.

⛳️ Requirements

• 5-8 years of experience in Product Management within data-intensive platforms such as MDM, Knowledge Graphs, Data Mesh, or Enterprise Data Warehousing.

• Strong comprehension of data modeling principles.

• Proficient in discussing graph databases (RDF, SPARQL, Property Graphs), APIs, and ETL/ELT patterns with engineering teams.

• Proven track record of managing dependencies on a platform that relies on a separate infrastructure or foundational team.

• Capability to navigate through complex and messy data environments, synthesizing a clean and canonical structure from conflicting source definitions.

• Outstanding stakeholder management abilities with both technical engineering leads and non-technical business executives.

• Experience in Financial Services or another highly regulated industry is highly desirable.

• Familiarity with ontology standards (OWL, RDF) or experience in building Knowledge Graphs is a plus.

• Experience with metadata management tools or data cataloging software is advantageous.

• Leading a team through the “0 to 1” stage of a product launch in a large corporate setting is a plus, though not mandatory.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with company matching contributions.

• Paid time off.

• Holidays.

• Parental leave.

• Professional development reimbursement opportunities.

• Eligibility for an annual discretionary bonus.

• Consideration for equity awards, including restricted stock units or stock options.