Lake Worth, Florida, United States
I design and implement systems that keep data usable and compliant — turning privacy, consent, and governance into enablers of growth rather than blockers. Over the past 15+ years I’ve worked at the intersection of marketing technology, advanced analytics, and privacy engineering, with a specific focus on OneTrust‑powered consent, preference, and data governance programs in regulated industries. As a OneTrust Fellow of Privacy Technology, I’ve completed the full OneTrust certification stack (privacy management, consent & preference management, data mapping & DPIA, vendor risk, GRC), giving me end‑to‑end fluency from regulatory requirement all the way down to platform configuration and integration. In practice, that means I help organizations: -Design and implement full lifecycle consent & preference centers using OneTrust — from UX and jurisdictional logic (GDPR, CCPA/CPRA, HIPAA, LGPD) to back‑end data flows and auditability Integrate OneTrust consent and preference data with AEP/RTCDP (DULE, identity governance), Salesforce, and marketing automation so activation is always governed by up‑to‑date consent state -Build privacy‑first measurement frameworks (GA4, Piwik Pro, server‑side tagging) where consent is the control plane for data collection and downstream analytics -Map data (ROPA), run DPIAs, and operationalize GDPR/CCPA programs using OneTrust workflows, not spreadsheets -Design clean room and governed data collaboration environments (Snowflake, AWS Clean Rooms) that respect contractual and regulatory limits while still enabling high‑value analytics I’m both strategic and hands‑on: I work with privacy, legal, and security teams to interpret requirements, then go into OneTrust and related platforms to configure policies, workflows, SDKs, and integrations. I also stay close to data and product teams so that consent and governance are embedded in event schemas, CDP design, and AI/ML use cases rather than bolted on later. Domains: life sciences and healthcare, financial services, insurance, hospitality, and B2C/B2B SaaS — with a consistent through‑line of regulated data, strong governance expectations, and marketing/analytics teams that still need to move fast. I design and build systems that turn data into decisions—and decisions into continuous growth. Over the past 15+ years, I’ve worked at the intersection of marketing, analytics, and technology, but what I actually do is simpler:
• Strategic advisor and technical SME across Fortune 500 engagements — leading vendor selection (RFP/RFI), platform architecture, executive workshops, and OKR-aligned roadmaps across MarTech, data, and digital experience platforms. • Defined KPI frameworks and measurement foundations across fragmented GTM systems (Salesforce, Snowflake, marketing automation) — reconciling data inconsistencies, validating baseline metrics (MQL→Stage 0→Stage 1 conversion), and establishing single source of truth for executive and investor reporting • Designed experimentation and pilot frameworks for AI-enabled initiatives — including rep cohort selection, volume-based ramp strategies, A/B testing structures, and success criteria definition — ensuring statistically meaningful, unbiased results before broad deployment • Designed AEP/RTCDP + GA4 ecosystems (Web SDK, Edge Network, sGTM) enabling real-time customer profiles, identity stitching, and data-driven personalization across web, mobile, and e-commerce channels. • Analyzed behavioral data across Adobe Analytics (Analysis Workspace), GA4, and Heap — including CRM, campaign, and VOC signals — to identify engagement gaps, conversion friction, and lifecycle opportunities across automotive, healthcare, and financial services clients; improved measurable digital performance by 20–30%. • Built lifecycle journeys in AJO — configuring omni-channel campaigns (email, SMS, push, in-app) that reduced cycle times 30% — and validated segment qualification across batch, streaming, and Edge datasets. • Implemented sGTM on Cloud Run for first-party event routing, data enrichment, consent signal forwarding, and cookie extension — improving attribution accuracy 35–40%. • Built executive marketing intelligence dashboards (Power BI, Tableau, CJA) covering CAC, ROAS, funnel conversion, attribution, and CLV. • Delivered cross-channel paid media analytics frameworks integrating Meta Ads, Google Ads, DV360, and programmatic DSPs —
• Led client engagement as Resident Solution Architect, advising enterprise stakeholders on Snowflake architecture best practices and governance. • Assisted with Data Clean Room implementation, enabling secure collaboration across organizations while preserving privacy and compliance. • Designed and validated solution patterns for data sharing, anonymization, and controlled access using Snowflake’s native capabilities. • Partnered with cross functional teams (data engineering, analytics, compliance) to translate business requirements into scalable Snowflake configurations. • Conducted technical workshops and enablement sessions to upskill client teams on Snowflake features, including Data Clean Rooms, secure data sharing, and performance optimization. • Provided architectural oversight for integration with downstream analytics and marketing platforms, ensuring data lineage, security, and scalability. • Documented solution designs and operational guides, establishing repeatable frameworks for future Data Clean Room deployments. • Acted as trusted advisor to executives and technical leads, balancing innovation with compliance requirements in regulated industries. - Data Clean Rooms (DCRs): implementation & monetization
• Architected & led enterprise-wide GA4, Adobe Analytics, and CRM/DM/CDP implementations, ensuring unified measurement frameworks across web, mobile, and omnichannel touchpoints. • Built AI-driven segmentation models in BigQuery ML & Adobe Target, boosting conversions by 40%. • Led the development of AI-driven segmentation models in BigQuery ML & Adobe Target, increasing conversion rates by 40%. • Spearheaded multi-million-dollar digital transformation initiatives for Fortune 500 clients, aligning data strategies with executive business objectives. • Led the integration of privacy-first measurement frameworks to ensure GDPR, CCPA, and HIPAA compliance while maintaining robust analytics capabilities. • Developed real-time customer journey analytics dashboards leveraging Google Cloud, CJO and Looker Studio, enabling executive leadership to make data-backed marketing investment decisions.
Digital Transformation consulting engagement comprising omnichannel marketing stack, multiple silos alongside strong affirmed corporate okrs, kpis, and transformation statement. Perfect mix for collaborative discovery, re-imagined measurement frameworks and naturally martech strategy and leveraging to continuously improve, meet, exceed and redefine them
• MarTech & Measurement Optimization: Led cross‑functional stakeholder discovery and alignment workshops (exec to practitioner) to define North Star metrics and OKR‑aligned measurement roadmaps, realigning incentives around “metrics that matter” and establishing a clear experimentation and analytics blueprint for continuous improvement while proactively leveraging the GA4 migration, App & CDP integrations, and surging competitive necessity to design ML/AI‑enhanced MarTech stacks and tailored activation. • Platform Standardization: Standardized AEP, Adobe Target, GA4, and Salesforce Marketing Cloud across 12+ enterprise client implementations; reduced deployment timelines 40% and improved attribution accuracy 25%. • Journey Optimizer Implementation: Led end-to-end AJO deployment translating business requirements into scalable journey schemas and offer decisioning logic; increased engagement 15% with full compliance integration. • Marketing Science: Developed multi-channel MMM and SKU-level elasticity models for CPG/retail clients; improved promotional efficiency 10-18% supporting annual planning cycles. • Team Development: Mentored cross-functional teams while establishing governance standards, career frameworks, and technical best practices ensuring consistent platform adoption.