Director, Platform Owner - Intelligent Work

1. Enterprise Product Ownership & Platform Stewardship Act as the Overall Product Lead (OPL) for Liberty's Intelligent Work Platform (Everyday AI portfolio) guiding strategic clarity and cohesion, enterprise alignment and outcome delivery Translate enterprise priorities and 2030 goals into actionable platform roadmaps Ensure the platform evolves based on real business needs not market hype Maintain clarity on what EverydayAI is and is not, reinforcing disciplined adoption Balance innovation with operational stability, governance, and cost discipline Shape and evolve the Everyday AI ecosystem including connectors for context and data, aligned to architecture and AI backbone guardrails Contribute meaningful insights that will shape the investment and vendor strategy (e.g., OpenAI, Microsoft, AWS, Open AI, Anthropic, etc) in partnership with tech procurement team Ensure platform decisions prioritize long-term enterprise value over short-term experimentation Drive prioritization of secure enterprise data connectivity (e.g., Liberty Information Fabric, MCP patterns) Partner with Data Platform teams to enable entitlement-aware retrieval and governed knowledge access aligned with fit for purpose of Everyday AI tooling Ensure platform capabilities integrate cleanly with enterprise architecture standards Provide input to risk experts to enable the evolution of controls and risk frameworks in support of this fast-moving space Partner with legal to translate evolving regulatory obligations (GDPR, EU AI Act, etc.) into practical platform constraints and opportunities Shape governance narratives with clarity and confidence to enable Liberty to lead responsibly in scaling AI Establish KPIs for adoption, usage depth, and measurable productivity impact Develop and scale enablement programs in partnership with PP&B GenAI culture and training teams and Tech strategy team Ensure employees understand both the capabilities and the limitations of intelligent work platforms for individual productivity mission of Everyday AI level Promote responsible usage patterns through structured education and clear communication Reinforce a mindset shift from experimentation to sustainable, value-driven use Operate effectively in a highly matrixed environment, influencing without direct authority Support business unit technology teams in their Everyday AI strategies via well managed foundational components aligned with enterprise architecture standards Engage enterprise risk and governance forums to report progress, manage risk exposure, and secure alignment Be a core thought partner with cyber, legal, compliance, and PPB in designing GenAI guardrails that are risk-aware, not risk-averse Ensure platform expansion aligns with Liberty's regulatory obligations and risk posture Act as a connector within Liberty's federated operating model, coordinating across technology architecture, engineering and cyber teams. 10 years leading enterprise-scale digital or SaaS platforms Demonstrated product mindset in emerging or rapidly evolving technologies Experience scaling enterprise tools from early adoption to broad deployment Strong bias toward platform thinking: reuse > reinvention; scale > bespoke Deep understanding of GenAI system architecture: foundation models (open/closed), RAG, vector databases, agents, orchestration layers, etc. Familiarity with leading platforms: Azure, AWS, OpenAI, Anthropic, Google, open-source stacks Knowledge of model development lifecycle and context management patterns: prompt tuning, evaluation, hallucination/bias testing, release gating, MCP, Skills "Learn-it-all" mindset with strong enterprise orientation Proven success operating in complex, matrixed organizations Executive-ready communicator able to demystify emerging technologies Strong storytelling capability to drive cultural adoption Demonstrated ability to influence senior stakeholders across technical and business domains Experience managing multi-million-dollar SaaS or platform portfolios Ability to define and measure platform value realization through KPIs and telemetry Demonstrated product management, product mindset, and UX design, in emerging, rapidly evolving technologies Rigor in experimentation: hypothesis-driven, metrics-led, and focused on productionalization Bias for product thinking over project execution, reusable platform assets over bespoke builds Bias for platform thinking: reuse> reinvention, scale> bespoke Experience working with global delivery models and enterprise-scale stakeholder groups Skilled at balancing risk awareness with innovation momentum Financial acumen to manage multi-million-dollar platform portfolios Expertise in the Insurance and Investments industries preferred Demonstrated comfort experimenting with non-consensus ideas and frontier use cases Brings a unique perspective -- not locked into one vendor's narrative or roadmap