Director, Marketing Analytics & AI Transformation

Pacific Life•Newport Beach, CA

2d•$184,680 - $225,720•Onsite

About The Position

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We’re actively seeking a Director, Marketing Analytics & AI Transformation to join the Consumer Markets Division (CMD) Marketing organization in Newport Beach, CA.

Requirements

6+ years of specialized experience in marketing analytics, marketing technology, AI/ML, or related disciplines, including significant business knowledge within financial services.
Demonstrated experience leading cross-functional initiatives and influencing senior stakeholders.
Demonstrated understanding of enterprise marketing workflows and metrics (CRM/lifecycle, paid media, funnels, attribution, attrition, LTV, ROAS, retention, etc.), and the ability to decompose them into automatable agent tasks and analytics problems.
Strong stakeholder communication and a product mindset, with high comfort operating in ambiguity.
Ability to explain what agents and analytics can and cannot do, design human-in-the-loop workflows and guardrails, and clearly articulate analytical assumptions, limitations, and implications.
Proven ability to quantify impact (e.g., time saved, uplift, incremental revenue) and link analytic outcomes and AI interventions to business value.

Nice To Haves

It is essential that the successful candidate demonstrate experience and proficiency in articulating business outcomes and benefits with senior leadership across a wide variety of technical domains (i.e., agent delivery, intermediate-to-advanced analytic frameworks, KPIs, scorecard development, etc.).

Responsibilities

Lead discovery efforts with marketing leaders and key partners to identify repeatable analytic and AI workflows that can be partially or fully automated (e.g., audience-building, campaign QA, creative testing, budget adjustments, insights synthesis), including identify analytical questions and decision points within these workflows.
Translate high-level marketing goals into agent tasks, analytical requirements, tools, and guardrails, and co-define success metrics (e.g., time saved, performance uplift, error reduction, user satisfaction) to ensure they are analytically sound, consistently measured, and aligned with enterprise scorecards.
Translate analytical findings and agent-generated insights into clear, actionable recommendations for marketers and senior leadership, including narratives tailored to non-technical audiences by designing analytic and agent frameworks that analyze campaign performance, identify anomalies, and recommend tests.
Suggest audience segments, messaging variants, or channel mix changes.
Summarize drivers of performance using intermediate-to-advanced analytic techniques (e.g., cohort analysis, funnels, contribution analysis, basic modeling, etc.).
Drive organizational change and adoption of AI- and analytics-powered marketing.
Lead pilots, gather structured feedback, and rapidly iterate agents and analytics solutions.
Help marketers understand when to trust agents vs. when to override.
How to provide effective feedback to improve agent and model performance.
How to interpret analytics, scorecards, and KPIs produced by or impacted by agents.
Act as an analytics and AI thought partner to marketing leaders, helping them frame business questions, interpret results, and make data-driven decisions enabled by AI and analytics.
Lead and influence cross-functional working groups spanning various marketing functions and capabilities.
Set priorities for multiple functional teams and be accountable for allocation of underlying resources.
Establish governance, standards, and best practices for marketing AI agents, experimentation, and analytics usage.
Address unique and complex business problems that have broad impact on business outcomes beyond the CMD marketing organization, including CMD’s distribution and operational environment.