Tory Burch Vice President of Data and Analytics Engineering

About Tory Burch

Founded in New York in 2004, Tory Burch is an American luxury lifestyle brand distinguished by its expressive use of color, signature prints and modern interpretation of classic style. Its collections span ready-to-wear, handbags, footwear and accessories, reaching an international clientele through a global retail and digital presence. As an employer, the company offers opportunities across design, merchandising, retail, technology and corporate functions, combining creative ambition with commercial expertise. Employees contribute to a founder-led business whose identity connects personal style with purpose. Women’s empowerment remains central to this identity, notably through the Tory Burch Foundation’s support for women entrepreneurs.

Role & Responsibilities

• Lead engineering strategy across CRM/MarTech, enterprise data, analytics, and integration platforms, aligning the ecosystem with 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, including 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.

Qualifications

• 18+ years of overall experience in software/data engineering, including at least 10 years in leadership roles and 5 years managing managers or multilayer engineering organizations.
• Proficiency in a modern programming language such as Python or Java.
• Deep experience with distributed systems and large-scale data platforms, such as 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.
• Clear, concise communication, with the ability to adapt messaging for executives, engineers, and cross-functional partners.
• Strategic and critical thinking, with the ability to articulate a multi-year vision while delivering near-term outcomes.
• Hands-on leadership, including participation in design reviews, data investigations, and incident response.
• Skills in conflict resolution, cross-team alignment, and leading across complex stakeholder landscapes.
• Ability to manage ambiguity and create clarity amid evolving priorities or organizational shifts.
• Experience managing managers and scaling hybrid organizations of internal and vendor teams using outcome-based performance frameworks.
• Strong ability to set and communicate technical direction tied to measurable business KPIs.

Skills

Experience

18+ years in software/data engineering, including at least 10 years in leadership roles and 5 years managing managers or multilayer engineering organizations.

Compensation

The base compensation for this position ranges from USD 255,000 to USD 320,000 per annum.

Benefits

Generous benefits supporting health, financial security, and wellness; employee discount and access to exclusive sample sales; free on-demand executive coaching; and paid volunteer days.

Culture

Tory Burch’s workplace culture reflects the brand’s entrepreneurial spirit and optimistic outlook, bringing together creative expression, commercial ambition and a collaborative approach to building a global fashion business. Its commitment to women’s empowerment gives the company a distinctive sense of purpose, connecting its identity as an employer with its broader mission to support women’s ambitions.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.