Corporate Vice President, Enablement & Delivery (Marketing Audience & Insights)

 

Location Designation: Hybrid - 3 days per week 

 

 

Role Summary

Every interaction generates data.  our MarTech and AdTech ecosystem transforms that data into a clear understanding of who a person is, where they are in their journey, and what they need. It enables more relevant, timely, and personal experiences and ensures those experiences feel connected and intentional.

From a marketing and experience perspective, our audience platform powers how audiences are defined, how signals are translated into usable context, and how that context is applied to personalize content, guide journeys, and inform decision making across marketing channels. It ensures teams can move beyond static segmentation to dynamic, real time understanding, and consistently deliver experiences that are relevant, coordinated, and measurable.

We are looking for an individual with with deep experience building and enabling this layer. This includes defining detailed requirements, recommending solutions, defining the appropriate reference architecture, and delivering solutions end-to-end with excellence.

In this role, you will partner closely with business, AI & data, technology, legal, and compliance teams. You will also help shape our forward-looking enablement strategy, including how agentic AI can evolve how insights are created and applied to better serve customers, empower advisors, and drive outcomes.

Success in this role requires strong domain expertise, disciplined solution design, and the ability to execute and deliver.

 

What Great Looks Like in This Role

• A deep domain expert in solutioning and delivering marketing data & insight platforms.
• A strategic partner to Business Product Managers and Business Domain Experts, understanding business needs and recommending and building solutions to enable their experiences and underlying digital products.
• A technical visionary who can assess today’s processes and workflows, and envision how modern intelligence can re-engineer them into autonomous, self-optimizing systems.
• Demonstrates delivery excellence which includes collaborating with stakeholders across the enterprise to create a delivery approachand build and manage a delivery plan that anchors sprint output to business outcomes
• A cross-functional partner who collaborates with AI & Data, Technology, and Business stakeholders around a shared vision for how the intelligence layer needs to evolve — including the transition from current state to agentic systems.

 

Key Responsibilities

MarTech and AdTech Enablement Strategy & Requirements

• Partner with key stakeholders to define and evolve the enablement strategy for segmentation, audience management, clean rooms, recommendations, and experience/journey analytics.
• Partner with product managers and business SMEs to understand business objectives and translate business objectives into concrete capabilities.
• Recommend and document business reference architecture for the platform holistically across MarTech and AdTech.
• Define and maintain our enterprise experience and marketing capabilities that allow creation and maintenance of our knowledge graph that can help give AI systems context required to perform actions in compliant manner
• Define platform and business requirements for audience segmentation (behavioral, contextual, and predictive), recommendation and experience analytics across multi-touch, cross-channel journeys—from first digital interaction through advisor engagement and conversion.
• Define and maintain a prioritized solution delivery roadmap that sequences enablement deliverables based on business impact, downstream dependencies, and architectural readiness.

Solutioning, Backlog, & Capability Enablement

• Create solution documents that translate business objectives and requirements into platform capabilities, data flows, and integration requirements.
• Build recommendations with business stakeholders to inform prioritization — grounded in what the capability unlocks for the organization.
• Collaborate with product management to manage the intelligence platform backlog.
• Directly accountable for defining, grooming, and sequencing based on business impact, cross-team dependencies, and architectural readiness.

Delivery & Execution

• Lead delivery of intelligence platform capabilities with Technology