VP, Data Engineering, Platforms & Integration

• Position Summary
• The Vice President, Data Platforms & Integration Engineering is accountable for designing, building, and scaling the enterprise data foundation that powers analytics, AI, and digital products across the company.

This executive owns the strategy, roadmap, and delivery of data platforms, core data engineering, and integration frameworks, ensuring data is trusted, accessible, secure, and ready for advanced analytics and AI at global scale. This role converts enterprise data strategy into execution—leading teams that deliver lakehouse platforms, data pipelines, APIs, and integration patterns that enable functional Data & AI product teams to move faster and deliver measurable business impact. As a senior technology leader, the VP partners closely with the SVP of D&A, AI & ET, Functional Data & AI Product VPs, the Corporate CIO organization, and Enterprise Architecture to ensure platform investments align to business priorities, architectural standards, and long-term scalability.

• Description
• Enterprise Data Platform Strategy & Ownership
• + Define and own the multi-year enterprise data platform and integration strategy, aligned to business priorities, AI roadmap, and cloud strategy.

+ Establish a unified data platform roadmap covering lakehouse architecture, data ingestion, transformation, storage, access, and interoperability. + Own platform decisions across cloud data platforms, tooling, standards, and patterns to reduce fragmentation and technical debt. + Translate enterprise strategy into clear platform OKRs, investment plans, and measurable outcomes (cost efficiency, reliability, time-to-delivery). + Accountable for platform investment planning, vendor spend, and cost optimization across enterprise data platforms

• Data Engineering & Platform Delivery
• + Lead the teams responsible for: Core data engineering (pipelines, data models, reusable assets), Enterprise lakehouse and analytics platforms, scalable data ingestion and transformation frameworks (batch and streaming) + Ensure platforms are designed for reuse, performance, security, and cost optimization.

+ Establish best practices for data reliability, observability, quality automation, and platform SLAs. + Partner with AI & ML Engineering to ensure platforms support model development, training, deployment, and monitoring at scale. + Ensure platform reliability, availability, and performance through strong engineering, monitoring, and operational practices. + Oversee strategic vendor relationships and platform contracts in partnership with Technology leadership

• Description (Cont.)
• Integrations & Data Exchange
• + Own the enterprise integration strategy for data, including APIs, event-driven architectures, and real-time data exchange.

+ Lead teams delivering reusable integration frameworks that connect enterprise systems (e.g., ERP, CRM, commerce, supply chain) with data platforms. + Ensure integration patterns are secure, scalable, and aligned with enterprise architecture standards. + Reduce point-to-point integrations by establishing standardized, productized data services.

• Product Partnership & Enablement
• + Serve as the primary Build Org partner to Functional Data & AI Product VPs, enabling rapid delivery of analytics and AI products.

+ Collaborate with Product, TPMs, and Platform Owners to prioritize platform enhancements based on enterprise demand. + Provide clear intake, prioritization, and delivery mechanisms for platform and integration work + Enable product teams with self-service data access, reusable assets, and clear documentation

• Description (Cont.)
• Governance, Architecture & Risk
• + Partner with Enterprise Architecture, Security, and Governance to ensure platforms meet compliance, privacy, and regulatory requirements.

+ Embed governance-by-design across platforms, including data lineage, access controls, and quality monitoring. + Ensure responsible and ethical use of data, especially for AI and GenAI-enabled solutions. + Participate in enterprise governance forums, investment reviews, and architecture boards.

• Leadership & Organization Development
• + Build and lead a high-performing global organization of data engineers, platform engineers, integration engineers, and TPMs/platform owners.

+ Establish clear operating models, career paths, and skills development aligned to modern data engineering practices. + Foster a culture of engineering excellence, reliability, and customer (product team) orientation. + Manage budgets, vendor relationships, and strategic partners in coordination with Technology leadership.

• Qualifications
• + 15+ years of progressive experience in data platform engineering, data engineering, enterprise integrations, or large-scale technology leadership roles, including senior leadership responsibility.

+ Deep expertise in enterprise data platforms and architectures, including lakehouse and cloud-based data ecosystems, supporting analytics, AI/ML, and operational workloads. + Proven experience leading large-scale data engineering and integration teams, delivering reliable, scalable data pipelines, APIs, and event-driven data exchange frameworks. + Strong understanding of cloud-native data technologies and platforms, including Azure-based services, Databricks, modern ELT/ETL frameworks, and data orchestration tools. + Demonstrated ability to define and execute enterprise data platform strategy, roadmaps, and operating models that reduce fragmentation, improve reuse, and optimize cost. + Experience partnering closely with Product, AI/ML, Enterprise Architecture, Security, and CIO organizations to align platform capabilities with business and technology strategy. + Fluency in data governance, security, privacy, and compliance-by-design, including data quality automation, lineage, access controls, and risk management. + Strong understanding of AI/ML enablement requirements, including data preparation, feature availability, model training support, and production monitoring needs. + Proficiency in Agile, product-centric, and platform-oriented delivery models, including intake, prioritization, and value-based delivery. + Demonstrated success leading global, multidisciplinary engineering organizations, managing budgets, vendors, and strategic partners.

Equal Opportunity Employer It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. The Company will endeavor to provide a reasonable accommodation consistent with the law to otherwise qualified employees and prospective employees with a disability and to employees and prospective employees with needs related to their religious observance or practices. Should you wish to apply for this position or any other position with the Company and you believe you require assistance to complete an application or participate in an interview, please contact USApplicantAccommodations@Estee.com.