Our values start with our people, join a team that values you!
Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience.
As part of our team, you will experience:
- Success. Our winning team pursues excellence while learning and evolving
- Career growth. We develop industry leading talent because Ross grows when our people grow
- Teamwork. We work together to solve the hard problems and find the right solution
- Our commitment to Diversity, Equality & Inclusion, and our community. We celebrate the backgrounds, identities, and ideas of those who work and shop with us because our differences make us stronger. We strive to be a positive force in our community.
Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2025 revenues of $22.8 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.
About this opportunity...
The Senior Manager, BI New Technologies leads the research, evaluation, selection, implementation, and responsible adoption of modern analytics, artificial intelligence, machine learning, MLOps, agentic AI, citizen development, and governed self-service capabilities. This role partners across Business Information, Platform, Security, Privacy, Governance, and business teams to introduce new capabilities that improve analytical decision support while maintaining appropriate enterprise standards and controls.
What you will do and what you will learn...
• Research, evaluate, select, and implement analytics, artificial intelligence, and machine learning tools and capabilities that support Ross AI and analytical needs.
• Introduce and expand artificial intelligence and machine learning capabilities within the data platforms, including capabilities such as expanded Tiered Tagging.
• Establish MLOps capabilities and practices for deploying, monitoring, maintaining, and governing machine learning solutions.
• Introduce agentic AI capabilities that support governed, multi-step business and analytical workflows.
• Enable citizen development and greater self-service by establishing the operating model, standards, controls, and ongoing management routines.
• Lead implementation of conversational BI, what-if analytics, predictive and prescriptive analytics, AI-assisted decision support, augmented analytics, and governed self-service capabilities.
• Establish implementation standards for security, privacy, responsible AI, model governance, testing, monitoring, and production support.
• Partner with Business Information, Data Engineering, Platform, Security, Privacy, Governance, and business teams to support responsible implementation and adoption.
• Lead and develop team capability, manage vendor relationships, communicate implementation outcomes, and drive timely issue identification, escalation, and resolution.
What you need to be successful...
• 10-12 years of experience in business intelligence, analytics, data, artificial intelligence, machine learning, or technology leadership roles.
• Hands-on experience implementing enterprise analytics, AI/ML, MLOps, agentic AI, or emerging technology capabilities.
• Deep expertise in modern cloud data and analytics platforms; experience with Snowflake, dbt, Python, SQL, Azure, and Control-M preferred.
• Demonstrated experience researching and selecting analytics tools and moving approved capabilities from evaluation through implementation and production adoption.
• Experience establishing MLOps practices for model deployment, monitoring, maintenance, governance, and operational support.
• Experience implementing conversational BI, predictive or prescriptive analytics, AI-assisted decision support, augmented analytics, or governed self-service capabilities.
• Knowledge of responsible AI, privacy, security, data governance, model governance, and enterprise platform controls.
• Experience establishing operating models, standards, controls, and management routines for citizen development or governed self-service.
• Proven cross-functional leadership, executive communication, vendor management, and change-management skills.
• Strong communication skills with the ability to explain complex technical concepts in clear business terms and maintain a strong customer service approach.
• Experience working in an Agile environment preferred; familiarity with the retail domain preferred.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Business Analytics, Business Management, or a related field.
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