Ability to engage deeply in technical conversations with engineers and data scientists
Leadership & Execution
Demonstrated ability to lead cross-functional, matrixed teams
Strong prioritization and decision-making skills in ambiguous environments
Excellent communication and stakeholder management skills
Education
Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
Experience building enterprise AI platforms or AI-enabled products, specifically in Gemini Enterprise Agent Platform
Familiarity with cloud environments (GCP, AWS, Azure) and modern data stacks
Experience with regulated industries (insurance, finance, healthcare)
Key Skills for Regulated Industries:
Regulatory & Compliance Acumen Deep understanding of regulatory frameworks (e.g., SOX, GDPR, HIPAA, Model Risk Management)
Ability to translate regulatory requirements into product features, controls, and workflows
Responsible AI & Model Governance Experience implementing model validation, explainability, fairness, and bias detection
Familiarity with AI governance frameworks , auditability, and documentation standards
Ability to operationalize model risk management (MRM) practices across the product lifecycle
Data Privacy & Security Strong understanding of data protection, PII handling, and data classification
Experience partnering with security teams on access controls, encryption, and data lineage
Knowledge of secure AI/ML architectures (e.g., VPC controls, air-gapped environments)
Audit & Traceability Ability to ensure solutions are fully auditable , with clear lineage from data → model → output
Experience supporting internal/external audits with appropria
Benefits
Health insuranceVision insurance
Additional Information
Dir Data Science - GD06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Principal Technical Product Manager (AI & Data Science)
Role Overview
We are seeking a Principal Technical Product Manager to lead the strategy, development, and scaling of enterprise AI and data science products. This role sits at the intersection of product strategy, advanced analytics, and platform engineering , driving the end-to-end lifecycle from concept through production.
As a senior individual contributor, you will operate as a product leader and technical translator , aligning stakeholders, shaping roadmaps, and ensuring delivery of high-impact AI solutions that deliver measurable business value.