Senior Director – Enterprise Data Architect, Advertiser Intelligence Platform

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $170k - $180k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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LocaliQ

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📣 Marketing

☁️ SaaS

🤝 B2B

Marketing • SaaS • B2B

LocaliQ is a digital marketing platform and services provider that helps businesses grow leads, revenue, and online visibility through data-backed, multi-channel marketing solutions. LocaliQ offers paid advertising (search, display, video, social), SEO, website and listings management, targeted email marketing, landing pages, AI-powered lead management (Dash), reporting and analytics, and managed local marketing expertise across many verticals and multi-location businesses. The company targets small-to-medium businesses and agencies with an all-in-one platform and professional services; site metrics indicate large scale: 283M leads generated, $15. 9B total revenue attributed, 142M hours saved, and 512K+ businesses served.

📋 Description

• Define the enterprise architecture and phased roadmap for the Advertiser Intelligence Platform • Build the golden advertiser profile strategy and canonical data model • Architect AI enrichment, opportunity scoring, similarity matching, and predictive intelligence capabilities • Partner with engineering and product teams to deliver MVP through scale • Integrate insights into CRM, BI, and business workflows • Establish governance for data quality, privacy, lineage, explainability, and cost control • Work directly with GTM and operations leaders to ensure measurable business results • Define end-to-end platform architecture aligned with revenue growth, retention improvement, and faster decision-making • Establish multi-phase architecture spanning golden advertiser profiles, AI enrichment, similarity matching, intelligence UI, predictive analytics, and AI integration • Design canonical advertiser domain models, normalized schemas, and data products • Architect ingestion, harmonization, identity resolution, deduplication, quality controls, and lineage patterns • Lead AI-enriched intelligence, vectorized advertiser representations, peer matching, predictions, and recommendations • Lead discovery, architecture definition, MVP design, phased delivery, and production rollout • Review and contribute to schemas, interface contracts, orchestration logic, data quality rules, and implementation plans • Guide pilot execution, sales validation, feedback instrumentation, and post-MVP expansion • Integrate insights into CRM, BI, email workflows, and collaboration channels • Establish governance for enrichment costs, token and API budgets, privacy compliance, source transparency, and ROI reviews • Act as the senior technical voice across executives, product, engineering, commercial operations, and GTM stakeholders

🎯 Requirements

• Deep enterprise data architecture experience in complex, cross-functional environments • Proven success building production-grade data and intelligence platforms • Strong background in cloud data ecosystems, modern analytics, and AI/ML-enabled architecture • Ability to lead at executive altitude and execute at implementation depth • Strong communication, influence, and operating discipline • 15+ years in enterprise data architecture, data platform engineering, analytics architecture, or closely related leadership roles, including ownership of complex cross-functional data programs • Experience designing enterprise-scale data architectures that unify multiple operational and platform systems into trusted, governed, production-ready domain models • Experience building or modernizing advertiser, customer, identity, martech, adtech, subscription, or revenue intelligence platforms • Experience with cloud data platforms and large-scale analytical ecosystems, ideally including BigQuery, modern orchestration patterns, semantic modeling, and near-real-time or daily refresh pipelines • Practical experience designing AI/ML-enabled data products, including feature design, scoring frameworks, recommender patterns, similarity matching, vector search, or predictive analytics • Experience translating ambiguous business goals into phased roadmaps, MVPs, architecture standards, and shipped capabilities adopted by business users • Experience partnering with sales, customer success, operations, finance, and product leaders to convert data strategy into business impact • Track record leading hands-on architecture reviews, mentoring engineers and architects, and unblocking execution in delivery-critical moments

🏖️ Benefits

• Variable incentive compensation, including commissions, may be applicable