• Own the end-to-end marketing event path from Flask and other product sources into Segment and downstream tools (Iterable, Workato, and other destinations) • Maintain and evolve the mapping engine configuration that filters product events into a canonical Segment CDP topic, ensuring only marketing-relevant traffic flows into the MarTech stack • Build and maintain marketing data pipelines from product events and warehouse models into Segment and Iterable, so lifecycle programs have the right signals for retention, reactivation, and upsell/cross-sell at scale • Own and operate key reverse ETL / bridge jobs from Databricks to Segment and Iterable, ensuring warehouse models and traits stay aligned with marketing requirements and data retention guidelines • Own Segment workspaces, schemas, and destinations for key marketing projects, ensuring events and traits remain organized, documented, and discoverable for marketers and analysts • Manage Iterable integrations for lifecycle and advertiser journeys, ensuring reliable delivery of both real-time event streams and batch traits to support onboarding, reactivation, and upsell programs • Partner with CIA, Sales, and Marketing to design and maintain first-party audiences and interest segments exposed across GAM, internal tools, and email programs • Work with RevOps and DS to replace fragile Salesforce→Iterable syncs with governed Databricks→Iterable datasets — enabling self-serve audience building and reducing manual CSV workflows — including Smart Ingest/Data Sync configurations and governance models for enterprise/NAM accounts • Monitor Segment usage (unique event names, schema growth) and drive consolidation, archival, and naming clean-up to keep the system performant and usable • Ensure identifier consistency across B2B and B2C use cases and alignment with Salesforce, product Identity, and other revenue systems • Maintain data hygiene and PII/consent standards across Segment, Iterable, and related rETL models - including hands-on troubleshooting of consent flows, preference center syncs, and suppression logic to ensure compliance policies hold up in production, not just on paper • Contribute a MarTech perspective to broader governance frameworks (SOX, GDPR/CCPA, global consent patterns) as they apply to marketing data and activation • Serve as the primary MarTech point of contact for Growth Marketing, Lifecycle, Product Marketing, and RevOps on data and tooling questions, incident triage, and new program enablement • Translate marketing requirements into clear data and integration work: events to instrument, traits to model, journeys to support, and QA plans before launch • Partner closely with Data Platform, CXE, Analytics, and BizTech Revenue Systems on cross-system initiatives (e.g., preference centers, consent flows, NEXT launch, international programs) that depend on reliable MarTech infrastructure • Own monitoring and health checks for key pipelines: Kafka write rates, consumer lag, Segment delivery latency, Iterable ingestion health, and Salesforce event flows that impact campaigns and journeys • Lead investigation and resolution for missing, mis-routed, or malformed events and traits, following an end-to-end debugging flow from product events through Segment, Iterable, and audience membership • Act as a first or second-line responder when journeys misfire, audiences change unexpectedly, or campaigns are blocked due to data issues, coordinating with engineering and data teams as needed • Contribute to the MarTech roadmap with a focus on identity hygiene, schema standardization, deliverability, and reducing manual workflows in favor of governed Databricks→Iterable paths • Help evaluate and right-size vendor contracts and platform usage (e.g., Segment, Iterable, Litmus), balancing capability needs with cost and performance. • Maintain and enhance documentation and reference artifacts (e.g., Segment ingestion & architecture docs, User Traits master sheets, role overviews) so the broader team can self-serve and new hires can ramp quickly