Director, Data/Feature Engineering

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made. We’re a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.

Where we lead, others follow. For more than 160 years, we’ve used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi’s, Dockers, Denizen and Signature by Levi Strauss Co.

About the Job:

We are taking one of the world’s most iconic brands into the next century: from creating machine learning powered denim finishes to using block-chain for our factory workers’ wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain. Be a pioneer in the fashion industry by joining our global Data, Analytics & AI “startup with assets,” where you will have the chance to build exciting solutions that will impact our global business and be part of a bigger, across-continents, AI/ML community.

LS&Co’s vision is to be a data-driven company that applies analytics, machine learning, and automaton in making decisions, predicting and shaping desired outcomes across the business. We are looking for technology savvy data engineering leader who will lead our efforts in making highly reliable data and features (preferably with SLOs) available for our counterparts in data science for their model training, evaluation, validation and production deployment. We want this leader to envision how to deliver and operate “data as a product” and come up with strategies on how to remove model training and serving skew.

Roles and Responsibilities:

• Lead and grow a high performing global data/feature engineering team focused on making data and features available for model development 
• Partner with product, data science and other stake holders on building our roadmap that aligns with both the AI/ML organization vision and that of our stakeholders
• Build and deliver data and features to data science with a product mindset
• Accountable to simplify data architecture and accessibility to accelerate data democratization that help support the exploitation of strategic and tactical business opportunities leveraging data in a secure and compliant manner.
• Architect solutions that will enable efficient use our resources in the cloud
• Leverage microservices and composable data architecture to ensure quality, traceability, timeliness, usability and cost-effectiveness.
• Accountable for development, test, deployment, monitoring and support for implementing curated data layers for data science use
• Build frameworks that will combine modular SQL with software engineering best practices to make data transformation reliable, fast and fun
• Engage your team to construct the technical delivery roadmap and lead planning, delivery and continuous improvements
• Balance calculated risks, trade-offs and consequences in prioritizing and optimizing for sustainable time-to-value and high-quality engineering
• Maintain and continuously improve agile delivery and engineering practices
• Attract, onboard, develop and retain diverse top talents, while fostering an inclusive and collaborative team culture

About You:

• Overall 10+ years of experience as a data/ feature engineering leader who has work experiences in a dynamic organization with mature process. Broad business experience within the retail / ecommerce industry is desired.
• Hands-on experience in building big data pipelines on GCP using technologies such as Vertex AI, Kubeflow, MLflow, Big Query, GCS, Hadoop, Spark, Hive, Dataflow, Dataproc etc.
• Hands-on experience in Data Compute Frameworks, Databricks and NoSQL technologies.
• Strong background in architecting, documenting and rolling out complex data engineering pipelines at scale
• An established track record and multiple experiences across technical and people leadership, as well as building and operating large scale products or services
• Previous hands-on technical leadership in building high performing and scalable data pipelines that are optimized for cost
• Practical experience and ability to coach and advance best practices with TDD, CI/CD, performance and scale testing, etc.
• Experience with building and delivering “data as a product”
• Knowledge of architecting and delivering secure, scalable cloud-based data warehouses, data lakes, delta lakes, data fabric on GCP
• Knowledge of feature engineering and data science workflows
• Practical experience in hiring and developing engineering teams, as well as enabling an inclusive and diverse culture (in a fast-paced agile environment). 
• You will be a natural collaborator and communicator with the ability to influence partners and peers at different levels.
• An accomplished mentor and coach with proven performance management skills.

We put a lot of thought into our programs to provide you with a benefits package that matters. Whether

it is for medical care, taking time off, improving your health or planning for retirement, we've got you

covered. Here's a small snapshot:

• 401K match: $1.25 for every $1.00 you contribute up to the first 6% of pay you save.
• Five hours of paid volunteer time per month with nonprofit organizations
• Product discount of 50% off regular-price merchandise