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AP
Aptiv plc
Director, Demand Generation
Career Insights for Marketing Operations Analyst
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What they do
A Marketing Operations Analyst analyzes and reports data on marketing processes to help a business or organization improve efficiency and support marketing operations. Documents marketing-related business processes and identifies opportunities for improvements.
$80,211 / year median in California
+16% projected growth
Job Description
Director, Demand Generation Aptiv plc - 3.7 San Diego, CA Job Details $200,000 - $230,000 a year 18 hours ago Benefits Paid holidays Health insurance Dental insurance 401(k) Vision insurance Life insurance Qualifications Data model design Marketing project management Data visualization software proficiency Managing marketing teams Project management experience in technology Sales analytics & reporting tools Data modeling projects Tooling Marketing company internal data Leading organic search traffic initiatives Lead Conversion Prompt engineering Salesforce Cloud Business intelligence tools Technology management Sales intelligence tools Sales management systems proficiency Leading team collaboration initiatives Marketing analytics CRM system proficiency AI-driven automation Cross-functional team management Project stakeholder communication Generative AI Data analytics technologies Cross-functional communication Conversion rate optimization (CRO) Stakeholder management Full Job Description Director, Demand Generation About the Role We are looking for a Director of Demand Generation to build and lead an always-on, signal-driven demand engine that grows marketing led pipeline and revenue, with a clear mandate to make inbound our primary source of pipeline. We see a leader who moves the function beyond forms and MQLs to real-time detection of in-market accounts and buying groups, who creates website traffic, converts that into pipeline, and who uses modern tooling to operate demand generation faster, smarter, and at greater scale than we do today. The ideal candidate pairs deep demand generation and marketing operations experience with a GTM engineering mindset: someone who designs executable workflows, is fluent in modern signal and orchestration tools, and ties every dollar of activity to pipeline and revenue conversion against our ideal customer profile (ICP). Key Responsibilities Make inbound our primary pipeline source. Own the strategy to shift the pipeline mix from outbound to inbound over time, growing website-sourced and inbound pipeline into the dominant driver of revenue. Build and lead an always-on, signal-based demand engine. Detect in-market accounts and buying groups using first, second, and third-party intent data, and trigger real-time activation rather than relying on forms and MQLs alone. Own website conversion. Turn more site traffic into qualified pipeline through conversion rate optimization and Qualified (Piper AI SDR and conversational experiences), in close partnership with the Content and Web teams. Champion AI across the function. Use AI to automate enrichment, audience building, personalization, follow-up, research, and reporting, freeing the team to focus on strategy and high-value accounts. Own AI discoverability. Ensure Wind River is found, retrieved, and cited by AI search and LLM assistants (ChatGPT, Gemini, AI overviews) through structured, RAG-ready content, because buyers now research with AI before they ever reach our site. Operate as a GTM engineer. Design and run AI-executable workflows and orchestration across the martech stack, building repeatable systems instead of one-off campaigns. Own and modernize the marketing technology stack, including Marketo, Salesforce, DemandBase, Qualified, and Clari. Use DemandBase for enrichment, intent, and account prioritization, and evolve the stack with modern signal, ABM, and orchestration tools. Orchestrate multi-channel execution around account signals and ICP priorities, not calendar-based campaign volume. Weight investment toward inbound (SEO and AI discoverability, organic content, website conversion, webinars), and use paid and outbound to support pipeline rather than carry it. Partner with RevOps and Sales to make Clari shared full-funnel infrastructure for marketing, not just sales. Use it for marketing-sourced and influenced pipeline visibility, stage-by-stage conversion, and forecasting marketing's contribution to revenue, and tap conversation intelligence for voice-of-customer and competitive messaging. Measure outcomes, not activity. Report on inbound-sourced pipeline, buying-group influence, website conversion, conversion through every stage of the funnel, and AI discoverability. Automate scorecards and Tableau dashboards, and run experiments with clear success and kill criteria. Partner with sales operations to define SLAs and optimize lead-to-account routing and follow-up. Align cross-functionally with Sales, Product Marketing, Industry Marketing, Partner Marketing, and the Content and Web teams to focus demand generation on the highest-value opportunities. Lead, coach, and upskill a team of 5 including demand generation specialists and managers and marketing operations. Qualifications 10+ years in B2B demand generation, digital, or growth marketing, with at least 5 years in a leadership role. Proven track record of influencing pipeline and revenue growth in complex, multi-stakeholder B2B sales cycles, ideally by growing inbound and website-sourced pipeline. Demonstrated use of AI and signal-based tools in demand generation: intent data, ABM platforms (preferably DemandBase), enrichment tools (DemandBase and ZoomInfo), website conversion tools (Qualified or similar), and AI content and workflow tools. Comfort prompting and applying AI to GTM workflows. Deep expertise in marketing automation (Marketo preferred), CRM (Salesforce), and digital advertising platforms. Experience using a revenue platform such as Clari for full-funnel pipeline analytics and marketing attribution. Track record improving website conversion and inbound demand through SEO, CRO, and organic content. Understanding of AI and LLM discoverability and how buyers research through AI assistants and AI overviews.