Vice President, Data & Analytics Engineering

Life @ ToryBurch

When you join us, you’re joining a global, purpose-led company on an exciting growth journey with an amazing culture and great benefits. Our culture is welcoming and inclusive — everyone is empowered to make a difference. We have the best team in the world and believe in paying competitively and rewarding for high performance. Your overall well-being is important to us; we offer generous benefits to help you take care of your mental and physical health, create financial security, and achieve wellness in all areas of your life.

You’ll receive a generous employee discount and access to exclusive sample sales. We love seeing our employees wear our beautiful collections.

We believe in the importance of giving back and you’ll have many opportunities to do just that through the Tory Burch Foundation and paid volunteer days.

Role Overview

This Role Is Tailor-Made For You Because You’re a strategic, hands on engineering leader who thrives at the intersection of CRM/MarTech activation, enterprise data platforms, and large scale integration platforms. You balance long term architectural vision with the ability to deep dive into complex data pipelines, operational issues, or cross functional program blockers. You’ve scaled engineering organizations, led managers and hybrid teams, and built robust, API driven and event driven platforms that power personalized customer experiences across marketing, e-commerce, stores, and client services.

You’re passionate about shaping a Customer 360 that works across channels, building modern data platforms ready for AI/ML, enforcing data governance and privacy, and creating integration ecosystems that are reliable, observable, and secure. You take pride in translating business strategy into technical reality while creating a culture of clarity, accountability, innovation, and operational excellence. You’re also resourceful and collaborative with stakeholders and partner with Product Managers, Data Analysts, and cross-functional teams to align data solutions with business needs.

Key Responsibilities

• Lead engineering strategy across CRM/MarTech, enterprise data, analytics, and integration platforms, ensuring a unified ecosystem aligned to business priorities.
• Define architecture standards, canonical data models, API governance, data SLAs, and modernization roadmaps.
• Build, lead, and scale high-performing engineering teams, including internal leaders, technical program management, and vendor squads.
• Oversee Customer 360, segmentation, clienteling, and email/SMS marketing platforms to enable personalized, cross-channel customer engagement.
• Advance enterprise data platforms, ingestion pipelines, data quality frameworks, metadata, lineage, BI capabilities, and AI/ML enablement.
• Own and scale the enterprise integration backbone, including ESB, event streaming, integration standards, SLAs, and observability practices.
• Manage the full integration lifecycle from planning and design through implementation, testing, deployment, and post-go-live support.
• Drive enterprise data governance, including data quality, access controls, retention, privacy, compliance, and secure platform operations.
• Establish operational excellence practices such as incident management, runbooks, telemetry, reliability targets, and scalable support models.
• Partner with executives, business stakeholders, technology teams, and vendors to align priorities, manage risks, and deliver measurable business outcomes.

Technical Skills

• 18+ years of overall experience in software/data engineering, with at least 10 years in leadership roles and 5 years managing managers or multi-layer engineering organizations.
• Proficiency in a modern programming language such as Python or Java.
• Deep experience with distributed systems and large-scale data platforms (e.g., BigQuery or similar).
• Experience leading Enterprise Service Bus and implementing event-driven and messaging-based integrations.
• Strong expertise in microservices, API-first architectures, and API lifecycle governance.
• Strong command of relational and NoSQL databases, ETL/ELT, warehousing, and data pipeline testing frameworks.
• Experience with streaming technologies, event sourcing, and end-to-end platform observability.
• Proficiency with Business Intelligence tools (Tableau, MicroStrategy, Looker) and enabling self-service analytics.
• Experience with email and SMS marketing platforms, clienteling solutions, or customer engagement platforms.
• Strong understanding of data governance, data quality, privacy, and compliance frameworks.

Leadership Skills

• Clear, concise communicator who adapts messaging for executives, engineers, and cross-functional partners.
• Strategic and critical thinker who can articulate multi-year vision while delivering near-term outcomes.
• Hands-on leader who can roll up their sleeves during design reviews, data investigations, or incident response.
• Skilled in conflict resolution, cross-team alignment, and leading through complex stakeholder landscapes.
• Comfortable managing ambiguity and creating clarity during evolving priorities or organizational shifts.
• Experienced managing managers and scaling hybrid orgs (internal + vendor teams) with outcome-based performance frameworks.
• Strong ability to set and communicate technical direction tied to measurable business KPIs.