Responsibilities:

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Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics.
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Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems.
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Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies.
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Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement.
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Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms.
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Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization.
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Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics.
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Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes.
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Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards.
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Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions.
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\nQualification:

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Bachelor's degree in Computer Science, Information Systems, Engineering, Or a realted field (Master's degree a plus)
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8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions
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MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels.
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Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions.
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Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers.
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Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage.
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Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution.
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Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms.
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End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation.
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Background integrating CMS/DAM platforms with personalization and engagement ecosystems.
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Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data.
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Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments.
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Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming).
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Experience working with Data Science teams to operationalize ML models into customer-facing workflows.
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Exposure to AI-driven engagement, automation, and GenAI is considered a plus.
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Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems.
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Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360
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Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching
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Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization, and decisioning engines
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AdTech/Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation
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Cloud Platforms: GCP preferred (AWS/Azure acceptable)
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Integration Patterns: APIs, microservices, event-driven architectures (Kafka, Pub/Sub)
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Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases
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Customer Data Governance: Consent management, data lineage, auditability, data contracts
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Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs
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AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency.
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Process Automation: DevOps, AIOps & automation frameworks for Martech
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Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders.
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Strong problem-solving, creativity, and ability to balance technical rigor with business value.
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