Senior Associate - Data Risk Analyst

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Senior Associate - Data Risk Analyst

New York, New York, United States

Technology, Data, AI and Ventures (TDAV)

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.

Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.

The Data Risk Analyst plays a key role in advancing New York Life's enterprise data risk management program by developing and maintaining the frameworks, metrics, reporting, and processes used to identify, measure, monitor, and mitigate data risk. As part of the Data Governance & Data Risk Management function, this role will partner with data owners, stewards, technology teams, Enterprise Risk Management, Compliance, and other stakeholders to strengthen data risk practices across the organization.

The Data Risk Analyst will help develop and evolve New York Life's data risk taxonomy, operationalize Key Risk Indicator (KRI) and Key Performance Indicator (KPI) frameworks, maintain the data risk register, produce risk reporting and dashboards, and support the remediation of identified risks. The role will also contribute to data protection and governance initiatives across cloud-based data environments and help embed consistent data risk practices into day-to-day operations.

Develop and operationalize enterprise data risk frameworks by maintaining the data risk taxonomy, defining risk categories and descriptions, and partnering with Enterprise Risk Management, Compliance, Legal, technology, and data stakeholders to align data risk practices with broader enterprise risk frameworks and evolving business and regulatory needs.

Define, measure, and communicate data risk by establishing KRIs and KPIs, thresholds, escalation triggers, ownership, and reporting methodologies; maintain the data risk register and create dashboards and actionable reporting that provide governance and executive stakeholders with visibility into risk posture, trends, and emerging issues.

Drive risk mitigation and remediation by tracking findings, exceptions, and corrective actions; partnering with risk owners to address aging or recurring issues; supporting risk acceptance and escalation processes; and contributing to playbooks and standard operating procedures for common data risk scenarios.

Advance data protection and governance practices across enterprise data environments, collaborating with data owners, stewards, product managers, risk and compliance partners, and engineering teams to support data protection, classification, quality, lineage, metadata, measurement, and monitoring capabilities across cloud data platforms.

Build data risk awareness and adoption by partnering across business and technology teams, supporting governance committees and risk forums, and leading enablement activities such as roadshows, training, and onboarding sessions. Contribute to Agile delivery by helping manage priorities, requirements, stakeholder feedback, and the delivery of data risk capabilities.

5-8 years of professional experience in data governance, data risk management, enterprise risk management, or a related field, with demonstrated experience developing or maintaining structured data risk taxonomies and aligning data risks to broader enterprise risk frameworks.

Hands-on experience designing and operationalizing KRI/KPI frameworks, including metric definition, threshold setting, ownership, reporting cycles, risk monitoring, and remediation tracking.

Strong analytical and reporting capabilities, including experience using tools such as SQL, Tableau, or equivalent technologies to translate data and risk metrics into clear…