Senior Associate - Data Product Manager

New York Life • New York, NY

12h • Hybrid

About The Position

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.
The Data Product Manager is a critical role within the AI&D product management organization that sits at the intersection of business strategy, data, and technology. Your impact is both strategic and operational. You will drive business value from data by ensuring that data isn’t just collected, but transformed into actionable insights, tools, and products that create revenue, reduce costs, and improve customer experience. This role is ideal for someone who can bridge business needs, digital experiences, and technical capabilities to deliver data product solutions that create measurable value. It entails working closely with data engineering, data governance, data science and data analytics, business stakeholders to ensure our data products are scalable, reliable, and impactful. In addition to working with AI&D cross-functional teams, the role will work closely with business counterparts across New York Life in Foundational Business, Sales, Service, Eagle Investment Advisory, NYLIFE Securities, Life and other products, Technology, and others.

Requirements

• Bachelor’s OR master’s degree in a technical field (Engineering/Computer Science or related) or business-related discipline
• 2+ years of insurance or financial industry experience with related product management, design, or business-facing product development experience
• 3+ years of product management experience, including developing and managing roadmaps, writing product specifications, and managing agile processes.
• 3+ years of experience working with data & analytics products and experience with cloud technologies, MDM (identity resolution), data management, data governance, data science and analytics.
• Proven experience in shipping enterprise 360 data products from ideation to launch and deep understanding of data architecture and pipeline technologies, data lineage analysis, data governance, APIs, and data discovery.
• Solid understanding of data infrastructure (Data intelligence platforms -DataBricks, data pipelines technologies such as DBT, MuleSoft, APIs, cloud platforms such as AWS, GCP, or Azure).
• Solid understanding of data governance and data discovery tools such as Atlan, Anomalo.
• Ability to work with SQL, Experience with BI tools, and data visualization platforms (Tableau, Power BI, Crystal Reports etc.).
• Strong written and oral communication skills, including experience in developing influential presentations. Ability and executive presence to communicate persuasively with stakeholders at all levels in the organization as well as external partners.
• Demonstrated success in creating measurable business benefits from products and analytics while interacting with cross functional stakeholders in a complex organization.

Nice To Haves

• Proven track record of successfully managing end-to-end product lifecycles, from ideation to launch and ability to think strategically and translate insights into actionable product strategies.
• Experience in insurance products, asset management or wealth management a plus
• Fluency in technical delivery, including scaled agile processes and product management tools like Confluence, Jira, Monday, a plus.
• Strong organization skills with the ability to collaborate across cross functional groups such as Technology, Data, Compliance, Legal, etc. as well as third-party data and technology partners.

Responsibilities

• Ownership: Define the enterprise 360 data product vision and strategy to drive effective outcomes across the enterprise. Align the strategy for various business teams and create and drive a portfolio of AI & Data cross-functional data initiatives.
• Roadmap: Define the roadmap and prioritization across the portfolio and create functional & non-functional requirements and user stories to manage product backlog and execution through scrum teams
• Definition: Articulate business problems, gather evidence from users and outside sources, clarify the potential solutions with assumptions, guiding principles, strategic connections, elicit and document the business and data requirements.
• Delivery: Partner with AI&D cross functional teams and Business Unit product managers and technology partners to ensure high-quality, efficient execution of key initiatives in a scaled agile delivery framework
• Communication: Serve as primary evangelist of AI&D strategy and data product capabilities with internal, business, and executive stakeholders by reinforcing it’s business value and mindset of data as a strategic asset.
• Outcomes: Drive outcomes aligned with business teams and AI&D OKRs and report key metrics driving product effectiveness, utilization, and satisfaction

Benefits

• We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level