
Senior Director – Enterprise Data Architect, Advertiser Intelligence Platform
Posted Sep 1

Posted Sep 1
This is a fully remote position, open to applicants in United States.
• 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.
• 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.
• Variable incentive compensation, including commissions, may apply.
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