Principal Technical Product Manager

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.

** Key Responsibilities*
* ** Product Strategy & Vision*
* + Define and own the  
** product vision, strategy, and roadmap
** for AI/ML-driven products and data platforms

+ Translate business objectives into  
** scalable, reusable AI product capabilities*
* + Identify opportunities to leverage  
** advanced analytics, machine learning, and generative AI
** to drive business impact

** End-to-End Product Ownership*
* + Lead product lifecycle from  
** opportunity identification → POC → MVP → production scaling*
* + Ensure products meet  
** enterprise standards for architecture, governance, and compliance*
* + Define success metrics (KPIs, adoption, ROI) and manage performance post-launch

** Technical Product Leadership*
* + Partner closely with engineering, data science, and platform teams to:

+ Define  
** technical requirements and architecture trade-offs*
* + Prioritize backlog and align delivery to business value

+ Ensure solutions are  
** scalable, secure, and production-ready*
* + Stay current on AI/ML trends and evaluate emerging technologies

** Stakeholder & Cross-Functional Alignment*
* + Act as primary interface across  
** business, technology, data science, and governance teams*
* + Lead workshops and facilitate alignment on priorities, scope, and trade-offs

+ Communicate clearly with both  
** executive and technical audiences*
* ** Execution & Delivery Excellence*
* + Drive  
** agile product development** , including backlog prioritization and sprint planning

+ Manage dependencies across teams and ensure  
** on-time, high-quality delivery*
* + Proactively identify risks and implement mitigation strategies

** Governance, Risk, and Responsible AI*
* + Ensure solutions adhere to  
** enterprise AI governance, security, and compliance standards*
* + Embed best practices for  
** model validation, monitoring, explainability, and fairness*
* + Partner with risk, legal, and security teams on production readiness

** Qualifications*
* ** Experience*
* + 10+ years of product management experience, including:

+ 10+ years in  
** technical product management*
* + Proven experience delivering  
** data science, AI/ML, or analytics products*
* + Track record of shipping products from concept to production at scale

+ Advanced understanding of adoption strategies and metrics

** Technical Skills*
* + Strong understanding of:

+ Machine learning lifecycle (data prep, modeling, deployment, monitoring)

+ Data platforms (cloud, data pipelines, APIs, analytics tools)

+ AI/GenAI concepts (LLMs, prompt engineering, evaluation frameworks)

+ 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)

** Preferred Qualifications*
* + 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 …