Sr. Manager, Data Platform

P.F. Chang's • Scottsdale, AZ

2d • Hybrid

About The Position

P.F. Chang’s is seeking an experienced Sr. Manager, Data Platform to join its IT team at the Global Support Center in Scottsdale, Arizona. The Senior Manager will own the company’s data model, database architecture, and integrations while leading a technical team. The role will also help build AI-enabled business intelligence capabilities to support faster decisions, greater efficiency, and cost reduction.

This is primarily an office-based position, with a minimum of three days per week in the office. The role is located at the P.F. Chang’s Global Support Center in Scottsdale, Arizona 85255. Candidates must currently reside in the greater Phoenix area and live within a reasonable commuting distance of the office.

Requirements

• 7–10 years of progressive experience in data engineering, database administration, data architecture, or a related data platform field.
• At least 3 years of experience directly managing or leading a technical team.
• Strong SQL skills and a deep understanding of relational database design, data modeling, and schema structures.
• Experience designing and owning enterprise data integrations, such as APIs, ETL/ELT, or middleware, across multiple business systems.
• Experience building or enabling AI and machine learning capabilities for business intelligence, such as predictive analytics, forecasting, or automated insight generation.
• Knowledge of data warehousing and BI or reporting tools.
• Experience evaluating legacy data structures and leading modernization efforts.
• Strong project management and prioritization skills.
• Clear written and verbal communication skills, including the ability to explain technical concepts to non-technical partners.
• Must currently reside in the greater Phoenix area and live within a reasonable commuting distance of the Scottsdale office.

Nice To Haves

• Experience in restaurant, retail, or another multi-unit operating environment.
• Experience with cloud data warehouse platforms, modern ETL or integration platforms, or BI and visualization tools.

Responsibilities

• Maintain and evolve the company’s data model, database architecture, and table structures across the enterprise data platform.
• Assess existing data architecture and integrations, identify gaps, and guide redesign or re-platforming efforts.
• Set standards for data flows across business systems in collaboration with internal technology teams and outside vendors.
• Write and review SQL queries, build data views, and prepare reports and analyses for business and technical stakeholders.
• Develop data capabilities that support predictive analytics, forecasting, and automated insights for field and leadership teams.
• Coach and develop data architects, database administrators, engineers, and BI professionals.
• Guide database administration, data warehousing, ETL and integration development, and BI and reporting delivery.
• Work with departments across the company to translate reporting and analytics needs into reliable, reusable data structures.
• Maintain data quality, definitions, lineage, governance, and access controls.
• Oversee the security, performance, and reliability of production databases and pipelines, including Tier 2 and Tier 3 support.
• Recommend data, integration, BI, and AI platforms, and manage related vendor relationships and contracts.

Benefits

• Medical, dental, and vision coverage, and 401(k), starting on the first of the month following the hire date.
• 20 days of paid vacation and sick time per calendar year for full-time Global Support Center team members, prorated for new hires.
• 12 company-selected paid holidays plus 2 floating holidays per year.
• Annual bonuses based on Company performance.
• Tuition reimbursement for job-related programs.
• Preloaded Lucky Cat Meal Card for use at any corporate-owned P.F. Chang’s location.
• Exclusive employee discounts.
• Financial assistance through the Lucky Cat Fund during hardships for qualifying team members.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed