Senior Director – Enterprise Data Architect, Advertiser Intelligence Platform

atUSA TODAY NetworkRemoteUS flagUnited StatesFull-timeData EngineerSenior$170k – $180k/year

Posted Sep 1

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the enterprise architecture and phased roadmap for the Advertiser Intelligence Platform.

• Develop the strategy for the golden advertiser profile and establish a canonical data model.

• Architect capabilities for AI enrichment, opportunity scoring, similarity matching, and predictive intelligence.

• Collaborate with engineering and product teams to deliver the MVP and scale effectively.

• Integrate insights into CRM, BI, and business workflows.

• Create governance frameworks for data quality, privacy, lineage, explainability, and cost management.

• Work closely with GTM and operations leaders to achieve measurable business results.

• Define a comprehensive platform architecture that aligns with revenue growth, retention enhancement, and improved decision-making speed.

• Establish a multi-phase architecture that encompasses golden advertiser profiles, AI enrichment, similarity matching, intelligence UI, predictive analytics, and AI integration.

• Design advertiser domain models, schemas, data products, ingestion processes, harmonization, identity resolution, deduplication, quality controls, and lineage patterns.

• Lead initiatives involving AI-enriched intelligence, vectorized advertiser representations, peer matching, prediction, recommendation, churn analysis, expansion strategies, product adoption, and ROI modeling.

• Oversee 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, validation by sales teams, feedback instrumentation, and expansion post-MVP.

• Drive integration efforts 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 assessments.

• Develop an operating model focused on continuous improvement through user feedback, closed-loop outcomes, and regular data updates.

• Serve as the senior technical voice among executives, product, engineering, commercial operations, and GTM stakeholders.


⛳️ Requirements

• Over 15 years of experience in enterprise data architecture, data platform engineering, analytics architecture, or similar leadership positions.

• Proven ownership of complex, cross-functional data programs.

• Experience in designing enterprise-scale data architectures that unify various operational and platform systems into trusted, governed, production-ready domain models.

• Background in building or modernizing platforms related to advertisers, customers, identity, martech, adtech, subscriptions, or revenue intelligence.

• Strong expertise with cloud data platforms and large-scale analytical ecosystems.

• Ideally knowledgeable in BigQuery, modern orchestration patterns, semantic modeling, and near-real-time or daily refresh pipelines.

• Practical experience in designing AI/ML-enabled data products, which includes feature design, scoring frameworks, recommender patterns, similarity matching, vector search, or predictive analytics.

• Ability to translate ambiguous business objectives into phased roadmaps, MVPs, architecture standards, and capabilities that are adopted by business users.

• Experience working collaboratively with sales, customer success, operations, finance, and product leaders.

• A proven track record of leading hands-on architecture reviews, mentoring engineers and architects, and facilitating execution.

• In-depth experience in enterprise data architecture within complex, cross-functional environments.

• Demonstrated success in building production-grade data and intelligence platforms.

• Strong foundation in cloud data ecosystems, modern analytics, and AI/ML-enabled architecture.

• Ability to lead at an executive level while executing at an implementation level.


🏝️ Benefits

• Variable incentive compensation, including commissions, may apply.

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