Marketing Data Operations & Segmentation Lead

Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Salesforce Marketing Cloud
Good to have skills : Campaign Management, Marketing Operations
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Overview
The Marketing Data Operations & Segmentation Lead will support the Marketing organization by owning the platform and operational data foundation that powers segmentation, activation, enrichment, data quality, data completeness, touch governance, campaign readiness, and downstream reporting. This role is primarily responsible for the hands-on marketing data and systems layer across Salesforce, Pardot, Marketing Cloud Next, Salesforce Data Cloud, RingLead, ZoomInfo, 6sense, and related tools. This is not intended to be a primary reporting role instead, it focuses on ensuring data is structured, enriched, governed, segmented, and usable for execution and downstream analytics.
This role provides dedicated marketing ownership over the data inputs, audience rules, enrichment processes, segmentation logic, and governance needed to execute campaigns, support lead lifecycle workflows, enable AI-driven activation, and ensure downstream reporting is trustworthy.
This role is best suited for a hands-on martech or marketing data operations professional with strong Salesforce and marketing automation fundamentals, experience supporting segmentation and data enrichment processes, and comfort working directly in platforms to enable campaign execution. Candidates do not need to have mastered every tool in the stack, but they should bring strong core platform experience, learning agility, and the ability to operate across connected systems.
The role will operate within a broader U.S.-led analytics and data team structure, partnering with team leadership, Marketing Operations, Demand Center, RevOps, IT, and business stakeholders to support defined use cases and adjust platform outputs based on business feedback. This position is intended to work in close partnership with the Marketing BI & Analytics Lead, with this role focused on platform execution, segmentation, enrichment, data governance & compliance, and data readiness.
Key Responsibilities
Own and optimize the marketing data operations layer across Salesforce, Pardot, Marketing Cloud Next, Salesforce Data Cloud, RingLead, ZoomInfo, 6sense, and related tools that support segmentation, activation, enrichment, and campaign execution.
Build, maintain, and troubleshoot data flows, platform configurations, and supporting processes that enable accurate and scalable marketing operations.
Own ongoing marketing data operations responsibilities, including lead, contact, and account data readiness, field usage governance, segmentation eligibility, enrichment rules, data acquisition support, and issue resolution across marketing-owned workflows.
Own and improve marketing data quality and completeness across key objects, fields, and platform processes to ensure marketing teams can target, route, and measure effectively.
Create and refine audience, account, contact, and lead segments in platform to support campaign targeting, nurture programs, ABM motions, lifecycle workflows, and other marketing execution needs.
Manage and improve enrichment and acquisition data processes using tools such as RingLead, ZoomInfo, 6sense, and related sources.
Establish and maintain governance over touch strategy, segmentation eligibility, and communication rules to help ensure target accounts and ICP audiences are not over-communicated across marketing programs.
Support Data Cloud and Marketing Cloud Next readiness by helping define, validate, and maintain the marketing data structures, audience attributes, and activation rules required for future orchestration and AI-enabled use cases.
Support data readiness for campaign activation, lead routing, lifecycle management, account prioritization, and full-funnel reporting.
Partner with U.S.-based team leadership and cross-functional stakeholders to review requirements, validate outputs, and adjust platform logic or segments based on business feedback.
Work closely with the Marketing BI & Analytics Lead to ensure data structures, enrichment logic, and segmented audiences support accurate downstream reporting and analytics.
Partner with Rev Ops, IT and Enterprise Data teams to align marketing data requirements, support integration and governance needs, and ensure marketing processes are connected to the broader enterprise data ecosystem.
Maintain data quality through validation, monitoring, troubleshooting, deduplication support, field mapping, and issue resolution across the marketing data ecosystem.
Document platform logic, segmentation rules, enrichment processes, field usage, dependencies, and key operational assumptions.
Apply AI-enabled tools and innovative thinking to improve segmentation approaches, account prioritization, audience intelligence, workflow efficiency, and the speed and quality of platform operations.
Required Skills and Experience
Strong hands-on experience working in Salesforce and marketing automation platforms that support campaign execution, segmentation, and lead management.
Hands-on experience with Pardot is strongly preferred.
Familiarity with one or more of the following is preferred: Marketing Cloud Next, Salesforce Data Cloud, RingLead, ZoomInfo, 6sense, or similar enrichment and activation tools.
Ability to build and manage audience, account, lead, and contact segments directly in platform to support campaign execution.
Strong understanding of Salesforce data structures, including accounts, contacts, leads, campaigns, and related activity data.
Experience improving data quality, completeness, field governance, and process consistency across connected marketing systems.
Experience with platform configuration, field mapping, data flow troubleshooting, and operational support across connected marketing systems.
Experience supporting data enrichment, deduplication, acquisition, or data hygiene processes.
Understanding of segmentation governance, contact policy, or communication controls that help prevent over-messaging and improve audience experience is preferred.
Working knowledge of SQL or other query-based troubleshooting is preferred but not required.
Ability to partner effectively with technical teams, business stakeholders, and campaign teams and adjust solutions based on feedback.
Experience using AI-enabled tools, copilots, or automation to improve workflow efficiency, documentation, segmentation analysis, or productivity.
Strong attention to detail, comfort working hands on in systems, and a practical mindset toward continuous improvement and innovation.
Ideal Candidate Profile
The ideal candidate is a hands-on marketing data operations, marketing systems, or martech professional who understands how audience, account, lead, contact, and campaign data are structured and activated across the marketing technology stack. This person should be comfortable working directly in systems, building and refining segments, improving enrichment and data quality processes, and supporting the operational data foundation that marketing teams rely on to execute campaigns effectively. They do not need to be a pure data engineer, but they do need to be strong in systems execution, data operations, and platform governance.
This person should be detail-oriented, technically capable, comfortable with ambiguity, and able to work across both technical and non-technical teams. They should be able to operate effectively within a globally distributed team, partner with U.S.-based leaders and stakeholders, and work closely with the BI and analytics counterpart. They should also bring an innovation mindset and use AI tools pragmatically to improve segmentation quality, accelerate routine work, and surface better ways to support marketing targeting and execution.
Success Measures
Core marketing platforms and connected data processes are stable, well-managed, and support campaign execution reliably.
Audience and account segmentation is accurate, timely, and usable for marketing programs and GTM motions.