Vice President, Data & Analytics Engineering

Tory Burch • Jersey City, NJ

22h • $255,000 - $320,000

About The Position

We are an American luxury lifestyle brand, founded in 2004. Anchored in the casual elegance of American sportswear, Tory’s design philosophy is defined by effortless silhouettes, innovative materials, eclectic juxtapositions of color, and the tension of past and present. The collections include ready-to-wear, handbags, footwear, accessories, jewelry, home and beauty.
Empowering women is the company’s guiding principle, expressed through Tory’s collections and reflected in the company culture as well as the work of the Tory Burch Foundation. Established in 2009, the Foundation provides women entrepreneurs in the United States with access to capital, education and community.
You are seeking a work environment where people are encouraged to dream, explore, discover and, as important, laugh together. If you’re prepared to work hard, create impact, and have fun while doing it, we would love to have you join #TeamTory. Apply today!
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. A sense of humor is a plus!
A Day in the Life:
The typical day is… atypical. Your Key Responsibilities may include.
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.
The consistent thread is that you’ll be working with an amazing team of women and men who share your passion for excellence.

Requirements

• 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.
• 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.

Nice To Haves

• A sense of humor is a plus!

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.

Benefits

• Competitive pay and rewards for high performance
• Generous benefits to support mental and physical health, financial security, and overall wellness
• Generous employee discount
• Access to exclusive sample sales
• Free executive coaching on-demand
• Opportunities to give back through the Tory Burch Foundation
• Paid volunteer days

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed