Senior Director – Enterprise Data Architect, Advertiser Intelligence Platform

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🕒 Setembro 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $170.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 29%

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USA TODAY Network

SiteLinkedInTodas as Vagas

201 - 500 funcionários

📱 Mídia

📣 Marketing

🤝 B2B

Media • Marketing • B2B

A USA TODAY Network é o braço nacional de mídia e publicidade da USA TODAY Co. , operando um amplo portfólio de publicações locais e nacionais e oferecendo um conjunto completo de soluções de publicidade e marketing. Ela oferece publicidade digital e impressa, mala direta, conteúdo de marca, marketing de performance, vídeo, SEO, merchandising e serviços de marketplace de autoatendimento, apoiados por tecnologia orientada por dados, serviços criativos, eventos e uma plataforma com inteligência artificial. A Network destaca o alcance de publicidade local apoiado por uma escala nacional e atende empresas nos setores automotivo, de viagens, finanças, educação, reforma de residências e outros segmentos.

Descrição

• 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 deliver measurable business results • Define end-to-end platform architecture aligned to 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 advertiser domain models, schemas, data products, ingestion, harmonization, identity resolution, deduplication, quality controls, and lineage patterns • Lead AI-enriched intelligence, vectorized advertiser representations, peer matching, prediction, recommendation, churn, expansion, product adoption, and ROI modeling capabilities • 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-team validation, feedback instrumentation, and post-MVP expansion • Drive integration with CRM, BI, email workflows, and collaboration channels • Establish governance for enrichment costs, token and API budgets, cooldown rules, privacy compliance, source transparency, and ROI reviews • Build an operating model for continuous improvement using user feedback, closed-loop outcomes, and regular data refreshes • Act as senior technical voice across executives, product, engineering, commercial operations, and GTM stakeholders

🎯 Requisitos

• 15+ years in enterprise data architecture, data platform engineering, analytics architecture, or closely related leadership roles • 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 • Strong experience with cloud data platforms and large-scale analytical ecosystems • Ideally, experience 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 • Track record leading hands-on architecture reviews, mentoring engineers and architects, and unblocking execution • 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

🏖️ Benefícios

• Variable incentive compensation, including commissions, may be applicable