Senior Director – Enterprise Data Architect, Advertiser Intelligence Platform

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 golden advertiser profile strategy and establish a canonical data model.

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

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

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

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

• Work directly with GTM and operations leaders to ensure tangible business outcomes.

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

• Build a multi-phase architecture that encompasses 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 initiatives in AI-enriched intelligence, vectorized advertiser representations, peer matching, predictions, and recommendations.

• 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 strategies.

• Guide pilot execution, sales validation, feedback collection, and post-MVP scaling.

• Integrate insights into CRM, BI, email workflows, and collaboration platforms.

• Establish governance for enrichment costs, token and API budgets, privacy compliance, source transparency, and ROI assessments.

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

⛳️ Requirements

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

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

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

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

• Excellent communication, influencing abilities, and operational discipline.

• 15+ years of experience in enterprise data architecture, data platform engineering, analytics architecture, or related leadership roles, including oversight of complex cross-functional data initiatives.

• Experience in designing enterprise-scale data architectures that consolidate multiple operational and platform systems into reliable, governed, production-ready domain models.

• Background in building or modernizing platforms for advertisers, customers, identity, martech, adtech, subscription, or revenue intelligence.

• Familiarity with cloud data platforms and large-scale analytical ecosystems, preferably including BigQuery, modern orchestration patterns, semantic modeling, and near-real-time or daily refresh pipelines.

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

• Proven ability to translate ambiguous business objectives into phased roadmaps, MVPs, architecture standards, and delivered capabilities that are embraced by business users.

• Experience collaborating with sales, customer success, operations, finance, and product leaders to transform data strategy into business results.

• A history of leading hands-on architecture reviews, mentoring engineers and architects, and resolving execution challenges during critical delivery periods.

🏝️ Benefits

• Variable incentive compensation, including commissions, may be applicable.