Digital Product Management Senior Manager- EMM & Agent Orchestration

Wells Fargo & Company•Irving, TX

17h•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking a Digital Product Management Senior Manager within the Marketing & Sales Platform team to lead Surface & Orchestration, a new enterprise Generative AI capability for Consumer Marketing. Surface will provide a central interface for campaign managers to design, test, approve, and deploy campaigns, while an orchestration layer coordinates downstream AI agents for tasks including audience targeting, creative generation, channel activation, compliance checks, and performance insights. The role combines product strategy and platform delivery across marketing, AI engineering, data science, analytics, risk, and operations. The Senior Manager will define the product vision and roadmap, develop a team, own the product backlog, and establish an operating model covering governance, model risk management, observability, and support. The goal is to enable marketers to use Surface confidently across end-to-end campaign workflows in a secure, scalable, and compliant way. The role also includes change management, vendor and partner management, budget and contract oversight, and coaching product managers and analysts.

Requirements

At least 6 years of digital product management or leadership experience, or equivalent demonstrated through work experience, training, military experience, or education.
At least 3 years of management or leadership experience.
Proven experience with Pega and Adobe platforms, including successful implementation of complex solutions across the marketing lifecycle, such as decision engines, RTCDP, testing, and content.
Hands-on familiarity with Generative AI platforms and LLMs, agent orchestration frameworks, prompt engineering, vector search/RAG, experimentation, and evaluation methods.
Willingness to work onsite at one of the locations stated in the job posting on a hybrid schedule.
VISA sponsorship is not supported for this role.

Nice To Haves

Success owning strategy, roadmap, and delivery for complex, cross-functional products, with strong stakeholder management and executive communication.
Expertise in agile product delivery, including backlog management, PI planning, sprint ceremonies, release planning, and writing clear, testable acceptance criteria.
Experience integrating enterprise products with marketing technology stacks, APIs, and data platforms, with ability to reason about data lineage, quality, and privacy.
Ability to implement governance and controls across privacy, security, and Responsible AI, and to partner with Risk, Legal, and InfoSec.
Ability to synthesize multidimensional, complex, interrelated concepts into clear implications, actions, and decisions.
Demonstrated ability to influence and collaborate effectively at all levels.
Exceptional problem-solving abilities.
Ability to translate complex business and operational concepts clearly to support sound decisions and business objectives.
Excellent written and oral communication skills, including the ability to communicate results clearly.

Responsibilities

Own the product vision, strategy, and roadmap for Surface, a Generative AI central interface and orchestration layer for downstream marketing agents.
Define user journeys and UX for campaign managers and marketing operations across campaign briefing, ideation, audience selection, creative generation, approvals, deployment, and post-launch optimization.
Translate business outcomes into epics, features, and acceptance criteria; prioritize and sequence the backlog; and lead agile teams in delivering product increments.
Build and evolve an orchestration layer coordinating agents for audience and segmentation, creative and content, channel and flighting, compliance and brand safety, and analytics and insights.
Establish product operations, including SLAs, incident response, observability and telemetry, evaluation harnesses, red-teaming, and continuous improvement loops.
Partner with Marketing, AI/ML Engineering, Data Science, Analytics, MarTech/AdTech, Legal/Compliance, InfoSec, and Risk.
Integrate agents with the broader marketing technology stack, including journey orchestration, personalization, A/B testing, CDP, email/SMS/push platforms, and paid media APIs.
Implement Responsible AI and Model Risk Management practices, including governance, privacy and PII safeguards, bias and quality testing, prompt logging, human review, and content policy guardrails.
Manage performance and costs, including token usage, caching, RAG, model selection, and throughput and latency SLAs; define quality metrics such as precision/recall, hallucination rates, and user satisfaction.
Define adoption, engagement, and business impact KPIs; create dashboards and mechanisms to track outcomes such as time-to-launch, lift, operational efficiency, and compliance findings.
Own change management, enablement, and marketer training; build feedback loops with power users and a Community of Practice.
Lead vendor and partner evaluations and negotiations for LLMs, agent frameworks, vector databases, and observability tools; manage budgets and contracts with sourcing.
Coach and develop product managers and product analysts; establish practices for discovery, experimentation, and data-driven decision making.
Foster agile discipline and continuous delivery improvement, using agility metrics.
Build frameworks for complex decision making that support effective debate and accelerate reaching sound answers.