Senior Associate - Data Risk Analyst

Data Risk Analyst

Location Designation:
Hybrid - 3 days per week

Within the Technology, 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.

• 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 reporting, dashboards, visualizations, and risk narratives for technical and non-technical audiences.

• Working knowledge of data governance and risk concepts, including data quality, metadata management, data lineage, data classification, data protection, and risk tracking, along with experience using tools such as Jira, Confluence, SharePoint, or GRC platforms.

• Strong communication, problem-solving, and stakeholder management skills, with the ability to collaborate across data, technology, business, risk, compliance, and governance teams and communicate complex risk topics effectively to senior stakeholders.

• Bachelor's degree in Information Systems, Computer Science, Data Science, Business, or a related field, or equivalent experience.

• Experience with in financial services, insurance, or another regulated industry and familiarity with industry frameworks such as DAMA-DMBOK, DCAM, FAIR, or the NIST Cybersecurity Framework.

• Familiarity with data catalog, data quality, or observability platforms such as Atlan, Anomalo, Collibra, or equivalent technologies, as well as cloud data environments such as AWS and GCP.

• Exposure to data security and privacy risk concepts, including PII/PHI, data classification, Data Security Posture Management (DSPM), and data protection approaches for structured and unstructured data.

• Understanding of AI and algorithmic data risk, including model data risk and Generative AI or LLM governance considerations, and experience working within Agile delivery environments.

Pay Transparency

Salary Range: $124,000-$177,000

Overtime eligible:
Exempt

Discretionary bonus eligible:
Yes

Sales bonus eligible:
No

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.