Senior Marketing Operations Manager

Bertelsmann-Jobs•Morrisville, NC

1d•Hybrid

About The Position

The Senior Marketing Operations Manager is a senior individual contributor who designs, builds, and governs marketing operations infrastructure supporting demand generation, product launches, lead management, campaign execution, and AI-enabled marketing workflows. The role establishes technical and operational standards for the Marketing Operations function and advises leadership on marketing technology roadmap decisions. It partners with stakeholders across Marketing, Revenue Operations, Sales, Customer Success, Product Marketing, Digital Marketing, IT, Legal, and Information Security to improve lead lifecycle performance, reduce manual work, ensure data quality, and create scalable systems and automations. A key objective is enabling marketing agility by identifying and removing operational constraints that slow campaign execution. The role applies marketing automation platforms, CRM workflows, analytics, APIs, AI tooling, and process improvement methods. Its automation, data, and AI work is scoped to marketing outcomes and can span conversation intelligence, intent, CRM, and marketing automation sources; it is distinct from enterprise-wide business process automation owned outside Marketing. The position is based in a flexible hybrid work environment. Employees must live in North Carolina within a commutable distance of the Morrisville headquarters (approximately a one-hour commute) and are expected to work at the headquarters approximately 30/40 days per quarter.

Requirements

Bachelor’s degree in Business, Marketing, Information Systems, Analytics, or a related field, or equivalent practical experience.
At least 6 years of marketing experience, preferably in a SaaS or technology organization, focused on marketing operations, marketing automation, revenue operations, or digital campaign operations.
At least 3 years of hands-on experience with CRM and marketing automation platforms to build, measure, and optimize campaigns and operational workflows.
Advanced working knowledge of Salesforce, Pardot, Marketo, HubSpot, or comparable enterprise marketing automation platforms, including administration and configuration.
Working knowledge of APIs, integration tooling, and SQL or equivalent query methods sufficient to build reports and diagnose integration failures.
Working knowledge of Power BI, Tableau, or a comparable business intelligence platform.
Working knowledge of data privacy, consent management, suppression requirements, and information security practices as they apply to marketing data and communications.
Familiarity with multi-touch attribution models and marketing analytics tooling.
Familiarity with B2B SaaS revenue operations practices, including lead lifecycle design, SLA models, and sales handoff processes.
Familiarity with conversation intelligence and intent data platforms such as Gong, Gong Engage, and 6sense, including how to extract and operationalize their data for marketing use.

Nice To Haves

Experience supporting a healthcare, education, or other regulated B2B SaaS marketing organization.
Relevant platform certifications, such as Salesforce Administrator, Marketo Certified Expert, or Pardot Specialist.
Experience evaluating and selecting marketing technology platforms as part of a stack consolidation or migration.

Responsibilities

Design, build, and maintain scalable marketing automation frameworks for campaign intake, email, nurture programs, forms, landing pages, lead scoring, routing, segmentation, suppression logic, and attribution.
Translate launch and campaign requirements into reusable operational patterns that improve speed, consistency, and governance.
Evaluate platform capabilities and integration options, and advise leadership on marketing technology roadmap decisions.
Build targeted marketing automations that complement the enterprise automation roadmap and provide structured, reliable data for enterprise automation and decisioning.
Own technical design and optimization of lead capture, enrichment, deduplication, scoring, routing, SLA monitoring, and handoff processes with Revenue and Sales teams.
Diagnose and resolve complex lead flow and integration failures affecting conversion, speed-to-lead, attribution, and pipeline visibility, including issues escalated by the team.
Evaluate data across revenue and marketing platforms, including conversation intelligence, intent, CRM, and marketing automation sources, and determine how to extract, route, and operationalize it.
Identify and implement AI-assisted and automation-driven workflows to reduce repetitive campaign production, QA, reporting, documentation, and operational triage.
Develop approved prompt libraries, workflow templates, and governance practices for safe and consistent use of AI by marketing teams.
Determine how extracted and integrated data should be applied through automation and AI for audience targeting, prioritization, campaign triggers, and operational decision-making.
Align marketing AI practices with enterprise automation and AI governance standards.
Establish and maintain operational standards for UTMs, campaign hierarchies, audience criteria, consent and suppression logic, data hygiene, QA checklists, naming conventions, and launch readiness.
Partner with channel owners to ensure campaigns are built accurately, governed consistently, and measured effectively.
Develop dashboards, reports, and operational scorecards to monitor funnel performance, automation impact, campaign execution quality, data health, and productivity gains.
Use Excel, BI tools, MAP/CRM reporting, and SQL or equivalent methods to communicate insights and inform decisions.
Engage stakeholders across Marketing, Revenue Operations, Sales, Customer Success, Product, IT, Legal, and Information Security to gather requirements and align improvements with business objectives.
Provide guidance to Marketing Operations peers on tools, processes, standards, and AI-enabled workflows without direct supervisory authority.
Identify and eliminate operational bottlenecks that constrain campaign turnaround time and help Marketing respond to market and sales-driven requests on compressed timelines.
Design and maintain operational infrastructure, templates, and automations that enable fast campaign launches without sacrificing data quality or governance.
Monitor developments in marketing technology, AI, analytics, and automation and assess their applicability to the marketing operations environment.
Own ongoing optimization, maintenance, and evolution of implemented systems and automations as operational needs change.