Delivery Leader, Price and Promotions at Safeway
Pleasanton, CA 94588, USA -
Full Time


Start Date

Immediate

Expiry Date

22 Jun, 25

Salary

182400.0

Posted On

22 Mar, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Structured Data, Solution Development, Business Workflows, Data Standards, Eda, Exploratory Data Analysis, Lime, Decision Making, Business Value, Investment Strategies

Industry

Information Technology/IT

Description

ABOUT THE COMPANY

Albertsons Companies is at the forefront of the revolution in retail. With a fixation on raising the bar with innovation and building belonging through our culture, our team is rallying our company around a unique purpose: to create joy around each table and inspire a healthier tomorrow for every community.
Albertsons Companies is one of the largest food and drug retailers in the United States, with over 2,200 stores in 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw’s, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci’s Food Lovers Market. We support our stores with 22 distribution centers and 19 manufacturing plants.
Placing a premium on adaptability, safety and family well-being, our work model, Presence with a Purpose, offers a hybrid work environment between remote work and office time. A one-size-fits-all approach does not apply to everyone, and teams are empowered to make decisions best for them.

Responsibilities

WHAT YOU WILL BE DOING

We are seeking a highly experienced AI leader to drive the execution, adoption, and integration of AI-driven solutions that optimize price and promotional investment decisions at scale.
This is a delivery-focused AI leadership role, ensuring that AI solutions are actionable, explainable, and embedded into enterprise decision-making. The focus is not on AI platform development but on optimizing price and promotional investment strategies through AI-driven insights and advanced reasoning models.

This role is not a learn-on-the-job opportunity—the ideal candidate must have hands-on expertise in:

  • Building and deploying Explainable AI (XAI) solutions that ensure AI-driven decisions are interpretable and trusted.
  • Developing and integrating Generative AI (Gen AI) models with advanced reasoning capabilities—leveraging large reasoning models to power structured decision-making in pricing, promotions, and investment strategies.
  • Feature engineering and data preparation techniques, ensuring AI models are trained on harmonized, structured data that aligns with real-world business needs.

The position will be based in Pleasanton, CA.

MAIN RESPONSIBILITIES

AI Strategy, Delivery & Change Adoption (70%)

  • Lead the execution of AI-driven strategic initiatives, ensuring solutions move beyond research into enterprise-wide adoption.
  • Partner with business leaders to drive AI adoption, ensuring solutions are trusted, explainable, and actionable by end users.
  • Change adoption is a key success metric—success is measured not just by building AI solutions but by ensuring their adoption and impact within the organization.
  • Navigate cross-functional groups to align AI initiatives across merchandising, operations, finance, and other divisions, ensuring AI solutions solve real business problems.
  • Manage AI teams, budgets, and skill mix in a large corporate environment, ensuring the right balance of technical and strategic AI expertise.

AI Architecture & Platform Strategy (30%)

  • Define the architecture of AI solutions, ensuring clarity between AI platforms, horizontal AI solutions, and business-specific AI products.
  • Examples of horizontal AI solutions include:
  • Agentic architectures that power chat-based and conversational AI experiences.
  • Classification and generation solutions for text, image, and speech processing.
  • Prediction and forecasting models used across multiple business functions.
  • Collaborate with AI Platform, AI Ops, Application and Cloud Engineering teams to ensure scalable AI deployment, governance, and operationalization.
  • Ensure AI models are explainable, transparent, and optimized for real-world use cases, particularly in regulated, high-impact decision environments.
  • Establish best practices for AI observability, model monitoring, and lifecycle management to ensure continuous optimization.
Loading...