Lifecycle Marketing Technology Lead (B2B)

Overview Smith is seeking a Lifecycle Marketing Technology Lead to enable the creation, execution and measurement of lifecycle programs across enterprise CDP, CRM, and email marketing platforms. As enterprise organizations invest more heavily in customer data and personalization, many struggle to operationalize those capabilities across platforms, teams, and reporting frameworks.
This role bridges strategy and delivery by translating lifecycle requirements into scalable, technically sound solutions within complex B2B environments. The role partners closely with Lifecycle Strategists, Functional Architects, and Technical Architects to configure, validate, and optimize campaigns, audience logic, and reporting framework across the platform ecosystem.
You’ll play a key role in helping customers evolve from fragmented campaign execution to connected, customer-centric activation by ensuring that:
Lifecycle activation programs are scalable, measurable, and reliably executed across platforms.
Campaigns and journeys are configured and functioning as intended.
Data, segmentation, and trigger logic are available, accurate, and operationally aligned.
Measurement and attribution frameworks produce actionable and trusted insights.
What You’ll Do Segmentation & Activation Logic
Participate in customer workshops that define B2B customer journey stages and help strategists identify high-impact opportunities for personalization and automation.
Implement and validate segmentation and trigger logic aligned to the defined lifecycle framework, including eligibility criteria, suppression logic, and audience prioritization rules.
Data Readiness and Attribution Measurement
Collaborate with to define KPIs and success metrics for lifecycle stages (engagement, conversion, retention, and expansion).
Define and validate data mapping requirements to ensure lifecycle metrics, triggers, segmentation, and scoring models are accurately captured across customer touchpoints.
Create and implement tracking frameworks for event tracking, UTMs and parameter standards, conversion mapping, etc.
Support attribution logic implementation and validation.
Support UAT readiness and provide QA for segmentation accuracy, trigger behavior, and journey logic.
Campaign & Journey Configuration
Configure lifecycle journeys in MarTech platforms such as SAP Engagement Cloud.
Ensure campaign standards are followed and applied including naming conventions, metadata requirements, and taxonomy.
Identify and communicate data, platform, or integration constraints that may impact campaign execution or timeline.
Develop and execute IP warming strategies and schedules for email deliverability.
Assess email marketing environments and provide recommendations for campaign optimization, audience segmentation, reporting and analysis.
Leadership, Collaboration & Customer Partnership
Contribute to solution design and customer discussions by providing input on data, platform capabilities, and activation feasibility.
Support and collaborate with internal teams to align work to lifecycle and MarTech objectives.
Support sales and account teams by defining solution approaches, estimating work, shaping proposals, and presenting strategy.
Communicate complex concepts clearly to technical and non-technical stakeholders.
What We Look For Experience with enterprise platforms such as:
SAP Emarsys / SAP Engagement Cloud
Salesforce Marketing Cloud
Marketo
HubSpot Enterprise
Segment, Tealium, or enterprise CDPs
Databricks or modern cloud data environments
Qualifications 5+ years in marketing automation, lifecycle marketing, MarTech operations, or marketing analytics
Experience working within enterprise B2B environments involving long, multi-stakeholder buying cycles.
Hands-on experience configuring lifecycle journeys and segmentation logic.
Strong understanding of enterprise MarTech ecosystems (CDP, analytics platforms, data models).
Experience designing multi-touch attribution models in B2B environments with technical depth to guide, test, and validate MarTech execution.
Demonstrated ability to translate strategy into system-ready requirements and validate technical execution.
Experience and aptitude for embracing AI to increase efficiency and quality.
Customer-facing consulting experience in agency, consulting, or enterprise environments.
Excellent communication skills with the ability to present to senior stakeholders and participate in complex planning initiatives.

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