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Senior Manager, Data Engineering
Senior Manager, Data EngineeringCHANEL • New York, NY, US
Senior Manager, Data Engineering

Senior Manager, Data Engineering

CHANEL • New York, NY, US
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Overview

S enior Manager, Data Engineering

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.

About the role

CHANEL is seeking a visionary Senior Manager, Data Engineering to lead our BI+CRM Data Engineering team, shaping the future of data-driven client experiences across our global luxury retail ecosystem. Based in New York City, this leader will architect, scale, and optimize the data platforms that underpin our Customer Relationship Management (CRM) and omnichannel engagement strategies. This leader will serve as the bridge between technology and business, partnering with CRM, Marketing, Analytics, and IT stakeholders to deliver robust, innovative, and compliant data solutions that unlock strategic value.

This role requires a minimum of 5 years of technical data engineering experience using SQL, Python, BigQuery, GCP, Azure, Power BI, etc., with source system (POS, ecommerce) and target systems experience (Salesforce, Marketing Cloud, BI tools). Must have a passion for people management and leveraging technical mastery with a curious and creative mindset. Our ideal candidate will identify opportunities and address unique technical and business challenges in a collaborative, analytical, and fast-paced environment of the Luxury Retail industry.

What impact you can create at CHANEL

Strategic Leadership & Vision

Define and drive the long-term data engineering strategy for CHANEL's CRM data platforms, championing data as a core business asset.

Set the vision for scalable, high-performance data architectures and pipelines, leveraging GCP (BigQuery), Salesforce Data Cloud (CDP), Reltio MDM and advanced analytics to support personalization, campaign execution, and reporting.

Guide the evolution of our Data as a Service model, ensuring alignment with enterprise architecture and business priorities.

Operational Excellence & Data Governance

Oversee and participate in the design, implementation, and maintenance of enterprise-grade data pipelines, ETL processes, and data models, ensuring reliability, integrity, and availability of customer data across all channels.

Act as data governance Data Custodian within the Client Data Domain, championing data accuracy, privacy, security, and regulatory compliance.

Lead initiatives to elevate data quality, identity resolution, segmentation, and data stewardship practices.

Cross-Functional Partnership

Partner with stakeholders in CRM, Marketing, Analytics, and IT to anticipate business needs and translate them into robust technical solutions.

Foster collaboration across business analysts, dashboard developers, and service owners to deliver actionable insights and enable self-service BI at scale.

Serve as a key advisor to the CRM architect and enterprise architects, providing strategic input on technology selection, roadmaps, and solution design.

Team Leadership & Talent Development

Build, mentor, and inspire a high-performing team of data engineers, architects, and analysts, cultivating a culture of innovation, excellence, and continuous learning.

Lead by example in technical mastery, stakeholder engagement, and cross-functional communication.

Champion knowledge sharing through internal masterclasses, best practice sessions, and community building within CHANEL's data and analytics organization.

Innovation & Transformation

Drive the adoption of emerging technologies (BigQuery ML, Vertex AI, Data Catalog, DLP) to advance CHANEL's data engineering capabilities and unlock new opportunities for personalization and analytics.

Proactively identify and pilot innovative solutions to complex data challenges, fostering a test-and-learn culture.

Ensure CHANEL remains at the forefront of data engineering in the luxury retail sector, continuously benchmarking against industry best practices.

You are energized by

Setting and executing a bold vision for data-driven transformation in a dynamic, global luxury brand.

Building world-class teams and fostering inclusive, collaborative communities of practice.

Solving complex business and technical challenges with creativity and rigor.

Working at the intersection of technology, analytics, and brand experience to shape the future of CHANEL.

What you will bring to the team

Demonstrated executive experience leading enterprise-scale data engineering functions, ideally within retail, luxury, or omnichannel commerce.

Proven expertise in architecting and governing complex data ecosystems across GCP (BigQuery), Salesforce Data Cloud (CDP), and related analytics platforms.

Deep experience with data acquisition (SQL, Python, APIs), data modeling, ETL / ELT pipeline orchestration, and advanced analytics.

Mastery of data governance, privacy, and compliance frameworks, with the ability to operationalize best practices globally.

Strong business acumen, with a track record of influencing senior stakeholders and translating business strategy into technical execution.

Exceptional leadership skills, with the ability to attract, develop, and retain top data engineering talent.

Outstanding communication and change management abilities, adept at aligning diverse teams and driving transformational outcomes.

A passion for innovation, continuous improvement, and elevating the role of data in delivering exceptional client experiences.

Experience in data acquisition (e.g., SQL, Python, Web API, SFTP, File Directories), data manipulations (e.g., JSON, XML, CSV) and structuring data using BigQuery, SQL Procedures, Scheduled Queries, Storage Buckets, Pub / Sub topics, Cloud Functions, and Cloud Scheduling.

Familiarity with Google Analytics, Firebase, and corresponding GA BigQuery data export schemas, and implement advanced SQL coding including aggregations / partitions / window functions.

Thorough understanding of data design and dimensional data modeling concepts.

Aptitude to build and maintain local Python virtual environments, supporting local development and testing with Python IDEs, and experience with using the Google Cloud SDK and gsutil.

Exposure to Microsoft BI SQL Server Agent Job / Step scheduling architecture and Microsoft SSIS package development with Visual Studio is desired.

Functional and technical experience in Advanced Analytics (BigQuery ML, Vertex AI) and Data Governance (Data Catalog, DLP) is a plus.

Ability to contribute to projects for end-to-end delivery with minimal guidance but also influence the business on best practices and solutions.

Position Logistics

Position based in New York City – CHANEL HQ in Midtown Manhattan.

Role requires a minimum of 3 days in-person office presence in the New York City office with some occasional presence in our Piscataway, New Jersey office.

Minimum of 5 years of multidisciplinary professional experience with an emphasis on building and maintaining data pipelines in Google Cloud Platform (GCP).

Required experience in retail, omnichannel ecommerce environment with a preference for Luxury Goods.

Required experience with SQL, Python, BigQuery, GCP, Power BI, Azure with CRM and CDP focus.

Salesforce Marketing Data Cloud, Marketing Cloud experience highly recommended.

Bachelor's degree (or equivalent knowledge and experience) in Information Management, Statistics, Mathematics, Engineering, Computer Science, Economics, or Analytics / Data Science; preferred.

Compensation

The anticipated base salary range for this position is $87,500 - $160,000. Base salary is one component of the total compensation for this position. Other forms of variable pay may be offered for this position. Other components may include bonus potential, benefits, and / or perks.

Benefits and Perks

Wellbeing resources include dedicated paid time off for wellbeing and a Wellbeing fund.

Family and caregiving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership).

Generous paid time off policies including vacation, holiday, sick and volunteer days.

401K and other incentives.

Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts, Health Savings Account and Employee Assistance Program.

Life insurance, Accidental Death & Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident & Medical, and Commuter Transit & Parking.

Additional Information

Chanel is a private company whose values are grounded in creating the conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibilities of growth. This is reflected in :

Diversity and Inclusion

At CHANEL, we promote Diversity & Inclusion. We foster respect, empathy and dignity for all. We believe strongly that the diversity of our people across the full spectrum of human differences is essential to our organisation and the connections we have with each other and our clients.

We offer Employee Resource Groups in the US that are voluntary, open to all, employee-led groups formed around a shared identity or lived experience, whose aim is to foster a diverse, inclusive, and equitable community aligned with the values and missions of the communities they support.

Chanel Community

CHANEL Community empowers our employees to channel their passions, talents and sense of purpose to contribute to and learn from our communities.

Employees are encouraged to take time off annually to volunteer through CHANEL Community. CHANEL also matches employee donations to select charitable organizations.

Sustainability

CHANEL Mission 1.5° is our climate action plan focused on transforming the business in line with the Paris Agreement to limit warming to 1.5 degrees Celsius above preindustrial levels.

Employees are encouraged to contribute to US Sustainability efforts through organized taskforces and initiatives.

Arts and Culture

We are committed to extending our legacy of cultural engagement. Global support includes the CHANEL Culture Fund and CHANEL Next Prize for the next generation of creative talent. US support includes sponsorships with MoMA, Tribeca, Through Her Lens, Academy Gold Fellowship, and BAAND Together.

Fondation Chanel

Fondation CHANEL supports improving safety and autonomy of women and girls worldwide through partnerships and programs.

For more information, please navigate to the Fondation Chanel website here.

Career and Leadership Development

We have dedicated in-house teams focused on onboarding and developing leadership skills via programs and coaching, with blended online and live classes offered on our Bloom platform.

Chanel, Inc. benefits and perks are dependent on eligibility and subject to modification by Chanel at any time.

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Manager Data Engineering • New York, NY, US