Lead Product Manager – Marketing Planning & Automation

UKG•,

13d•$133,900 - $190,750

About The Position

The Lead Product Manager, Marketing Planning & Automation, owns the product vision, strategy, roadmap, and outcomes for Marketing Planning and the integrations connecting UKG’s marketing technology ecosystem. The role will evolve Marketing Planning into a scalable enterprise capability linking strategic priorities, investment allocation, campaign development and execution, measurement, attribution, and performance. This is a product leadership position focused on end-to-end marketing processes and operating models rather than technology implementation. The role leads product strategy, discovery, prioritization, MVP definition, delivery, adoption, and continuous improvement. It connects campaign planning and lifecycle workflows with marketing technology platforms and business outcomes, reduces manual and disconnected work, and partners with Data and Analytics to support trusted models, reporting, dashboards, attribution, and performance insights. It also shapes an AI-first vision for planning and attribution, including appropriate human oversight, governance, explainability, and controls, while driving executive alignment and communicating strategy, risks, progress, and outcomes.

Requirements

8+ years of Product Management experience, preferably in B2B SaaS or enterprise technology.
Deep experience in Marketing Planning, Marketing Operations, Campaign Management, Marketing Measurement, Attribution, or a related discipline.
Strong understanding of how Marketing activity translates into engagement, opportunities, pipeline, and revenue.
Strong understanding of marketing technology, data, integrations, campaign taxonomy, metadata, and measurement architecture.
Experience transforming manual or fragmented business processes into automated, scalable enterprise products.
Hands-on experience with at least one major marketing automation platform, such as Eloqua, Marketo, or Salesforce Marketing Cloud.
Ability to translate complex business processes and analytical requirements into scalable product capabilities.
Experience leading product discovery, prioritization, user story development, delivery, adoption, and continuous improvement.
Ability to define success metrics and use data to improve product and business outcomes.
Strong cross-functional collaboration, executive communication, and stakeholder alignment skills.

Nice To Haves

Experience with Adobe Workfront or a similar Marketing Planning or workflow platform.
Experience defining integrations across a broader marketing technology ecosystem.
Experience with campaign development workflows, marketing performance management, or enterprise attribution.
Experience identifying opportunities for AI agents to automate planning, analyze performance, recommend investments, or surface optimization opportunities.
Experience applying industry best practices in Marketing Planning, Marketing Operations, campaign measurement, attribution, or Marketing Performance Management.

Responsibilities

Lead product strategy, discovery, prioritization, MVP definition, delivery, adoption, and continuous improvement.
Connect marketing planning to campaign intake, prioritization, development, approvals, execution, measurement, and optimization.
Establish consistent campaign taxonomies, hierarchies, metadata, governance, and business processes.
Enable Marketing leaders to model investment scenarios, priorities, capacity, and expected outcomes.
Define a connected campaign operating model across Adobe Workfront, Eloqua, Marketo, Salesforce Marketing Cloud, Salesforce, Cvent, advertising technology, and Google Analytics.
Eliminate manual handoffs, disconnected workflows, spreadsheets, and duplicate work across the campaign lifecycle.
Connect campaign and channel data to engagement, MQLs, BDR engagement, opportunities, pipeline, and revenue.
Partner with Data and Analytics to deliver trusted data models, reporting, dashboards, attribution, and performance insights.
Identify opportunities to automate repetitive Marketing Operations work and progress from human-driven workflows to AI-assisted and AI-driven execution.
Define product metrics for planning efficiency, campaign velocity, operational efficiency, adoption, data quality, attribution coverage, and business impact.
Shape an agentic AI-first vision for planning and attribution, including recommendations on investment, program prioritization, scaling, and optimization.
Establish appropriate human oversight, governance, explainability, and controls for AI-generated recommendations and decisions.
Drive executive alignment and communicate product strategy, decisions, risks, progress, and outcomes.