Overview In this role, you will lead the expansion and maturity of Image Recognition platforms across in-store and menu capture initiatives. You'll drive adoption, translate field data into competitive advantages, and shape technology standards with speed and cost efficiency. You will optimize dashboards with Data Science, shift reporting toward proactive insights, and ensure business-ready models understood by non-technical teams. You'll manage vendor relationships, promote continual improvements, and travel up to 15% to support scaling initiatives. This is an opportunity to influence data-driven decisions at a fast-growing organization.
Compensation / Benefits- Medical, Dental, Vision coverage
- Paid Time Off
- Retirement Benefits
- complimentary Health Screenings
Responsibilities- Oversee strategic expansion of Image Recognition platforms (In-Store and Menu capture) to drive adoption and competitive advantage
- Evolve technology, standards, processes and procedures focusing on speed, agility, transparency, and cost effectiveness
- Optimize dashboard ecosystems in collaboration with Data Science to meet scaling needs
- Shift legacy reporting to proactive, forward-looking insights
- Partner with Data Science & Advanced Analytics to deploy business-ready dashboards and understandable models
- Build, manage and measure relationships with vendors and technology providers
- Encourage continual improvement of solutions post-implementation
- Travel up to 15%
- Other duties as assigned
Key requirements- Bachelor's Degree in Computer Science, Information Systems, or related discipline with 10+ years of data ingestion design, data modeling patterns, and development/support of mission-critical BI/data analytics apps with 6+ years of leadership experience; or High School Diploma/GED with 13+ years of relevant experience and 8+ years of leadership
- Strong understanding of data modeling, dashboards, and visualization techniques
- Experience managing vendors and negotiating contracts/SOWs
- leadership
- cross-functional collaboration
- vendor management
- data ingestion design
- data modeling patterns
- dashboard development and visualization techniques
