Data Product Manager, Marketing Technology

ServiceNow•Santa Clara, CA

1d•$116,400 - $192,100

About The Position

The Martech team enables Marketing to scale through connected platforms, reliable data, automated processes, and technology solutions supporting lead management, CRM processes, campaign execution, reporting, and revenue growth. The Data Product Manager, Marketing Technology, defines and delivers Martech capabilities, initially focusing on end-to-end lead flow, lead validation and enrichment, Marketing data integrations, and platform optimization and consolidation. The role partners across Marketing, IT, Digital, and Data teams to translate business needs into requirements, prioritize enhancements, and deliver scalable solutions that improve operational efficiency and business outcomes. The role serves as a data product owner and advocate for Marketing stakeholders. It owns business requirements and supports work across the software development lifecycle, from roadmap planning and discovery through sprint planning, testing, launch readiness, and post-launch optimization. The position also contributes to governance, stakeholder alignment, user acceptance testing, adoption, continuous improvement, and support for acquired-system onboarding.

Requirements

Bachelor’s degree in Business, Marketing, Information Systems, Technology, or a related field.
At least 5 years of experience in product management, business product management, marketing technology, marketing operations, CRM, marketing automation, or a related function.
Proven experience partnering with Marketing, Sales, IT, Data, and other cross-functional teams to design, deliver, and continually improve marketing technology solutions.
Strong experience with marketing automation systems and data platforms.
Experience with Martech integrations, third-party tools, data flows, APIs, lead management processes, campaign operations, or customer data platforms.
Experience defining business and functional requirements, user stories, acceptance criteria, use cases, and process documentation.
Strong understanding of Agile methodologies, sprint planning, backlog management, OKRs, and KPI measurement.
Experience supporting UAT, release readiness, stakeholder sign-off, and change management.
Strong analytical and problem-solving skills, including investigating system, data, and process issues.
Ability to translate complex technical concepts into clear business language for non-technical stakeholders.
Excellent verbal and written communication skills, including the ability to influence, align, and communicate with stakeholders at multiple levels.
Strong organizational skills and ability to manage multiple priorities, projects, and cross-functional dependencies simultaneously.
Comfort operating in a fast-paced environment with evolving priorities and high stakeholder visibility.

Nice To Haves

Adobe Experience Platform experience is strongly preferred.
Experience with data quality, database structures, data cleansing, data enrichment, segmentation, or reporting processes.
Experience with enterprise Martech ecosystems and platforms such as CRM platforms, Marketo, Adobe Experience Platform, ServiceNow, Workfront, ZoomInfo, Demandbase, 6sense, or similar tools.
Experience supporting lead lifecycle management, routing, scoring, attribution, campaign execution, personalization, or buying group processes.
Familiarity with marketing data governance, consent management, privacy requirements, and operational compliance.
Ability to run SQL queries against data warehouses and analyze large datasets for optimization opportunities.
Experience creating enablement materials, training documentation, release notes, and stakeholder communications.
Prior experience in a global marketing organization or enterprise B2B environment.

Responsibilities

Act as the data product owner and advocate for Marketing stakeholders by gathering feedback, identifying pain points, and translating needs into Martech capabilities and enhancements.
Develop, own, and manage business requirements for Martech initiatives, including lead management, lead processing analysis and reporting, system integrations, data quality enhancements, and operational workflows.
Partner with business and technology stakeholders to understand platform capabilities, system roadmaps, integration dependencies, customization needs, and implementation processes.
Collaborate with cross-functional teams throughout the software development lifecycle, including roadmap planning, discovery, requirements definition, sprint planning, product reviews, testing, launch readiness, and post-launch optimization.
Identify, prioritize, and document business and functional requirements, user stories, acceptance criteria, and success metrics.
Prepare current-state and future-state process documentation, system workflows, training materials, and gap analyses to support business alignment and change management.
Define and track outcomes, OKRs, KPIs, and adoption metrics to measure the success of Martech initiatives.
Lead or support stakeholder alignment and obtain cross-functional sign-off on requirements, solution design, UAT readiness, and release decisions.
Define test criteria, support User Acceptance Testing, validate business outcomes, and help determine project readiness for launch.
Troubleshoot data, lead flow, integration, and process issues across Martech platforms, marketing automation systems, and related third-party tools.
Serve as a Martech subject matter expert across relevant CRM, marketing, and sales technology platforms and tools.
Support M&A integration efforts through discovery, documentation, and requirements for acquired-system onboarding.
Partner with global and regional marketing teams to improve communication, adoption, governance, and consistency across Martech processes.
Contribute to retrospectives and continuous improvement by identifying ways to streamline processes, reduce manual work, improve data integrity, and increase marketing efficiency.
Help maintain Martech governance standards, including documentation, intake processes, prioritization models, release communications, and operational best practices.