Director, Software Engineering; Customer Technology

Director, Software Engineering (Customer Technology)

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Create a healthier, brighter future for pets, pet parents and people!

If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco is the place for you.

Our core values capture that spirit as we work to improve lives by doing what’s right for pets, people and our planet.

• We love all pets like our own

• We’re the future of the pet industry

• We’re here to improve lives

• We drive outstanding results together

• We’re welcome as we are

Petco is a category-defining health and wellness company focused on improving the lives of pets, pet parents and Petco partners. We are 29,000 strong and operate 1,500+ pet care centers in the U.S., Mexico and Puerto Rico, including 250+ Vetco Total Care hospitals, hundreds of preventive care clinics and eight distribution centers. We’re focused on purpose-driven work, and strongly believe what’s good for pets, people and our planet is good for Petco.

Overview

We are seeking a seasoned technology leader with deep expertise in customer master data, data management at scale, and modern AI-forward engineering practices. This role is critical to shaping the long-range technology strategy for our commerce platform and integrated systems—including the evolution of our data architecture, warehousing, and analytics capabilities.

The ideal candidate is highly experienced in data warehousing (e.g., Big Query), Python, SQL, and modern cloud-based architectures, and brings hands-on familiarity with Generative AI and AI-enabled automation. You will partner across business and technology teams to define the next generation of our customer data capabilities and ensure scalable, reliable, and future-ready solutions.

Duties & Responsibilities

• Owns long-range technology strategy and architectural planning for our commerce platform, integrated systems, and customer master data ecosystem.

• Works closely with technical leaders to define and refine vision, architecture, and technology stack; leads efforts to drive timely, well-informed technical decisions.

• Leads the development of policies and standards to address complex business issues; provides strategic direction to cross-functional teams.

• Partners with Product Development to influence and shape data-driven capabilities built for business consumption.

• Advocates for enterprise technology initiatives within the enterprise backlog and ensures alignment to strategic priorities.

• Identifies interdependencies, risks, and emerging trends across technology programs; continuously improves data products, services, and delivery processes.

• Works with Program/Project teams and technical SMEs to create realistic, data-centric roadmaps; ensures accurate, timely execution and delivery.

• Applies strong engineering, analytical, and problem-solving skills to ensure solutions are technically sound, scalable, and aligned with business needs.

• Coordinates outsourced engineering efforts and cross-team collaboration across a variety of skill sets.

• Drives best practices in data architecture, data quality, customer master data governance, and modern data engineering.

• Champions the adoption of Generative AI, automation, and AI-driven insights across platforms and teams.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field—or equivalent work experience.

• 12+ years of IT and business industry experience, including leadership of multiple large, cross-functional teams or programs and influencing senior stakeholders.

• Advanced technical and business knowledge across the software development lifecycle, quality assurance, project management, and related disciplines.

• Demonstrated expertise with customer master data, data management at scale, data warehousing (Big Query strongly preferred), Python, and SQL.

• Experience leveraging Generative AI and AI-powered tools for engineering acceleration, analytics, and automation.

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