Database architect Jobs in Ann Arbor, MI

Job Description

Job Description

Company Description

Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately : we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!

Job Description

The Staff Solution Architect formulates and directs the data strategy for business unit partners, ensuring alignment between long-term technical capabilities and evolving business strategies. The Architect continually revises the data strategy adapting to rapidly shifting industry trends and business priorities. By staying informed about emerging technologies and industry developments, they lead credible, forward-thinking discussions on technology adoption across the entire spectrum of data and AI, effectively bridging tactical implementation with strategic business impact in diverse domains.

The Staff Solution Architect is a vital strategic partner within the Data & AI organization, acting as the primary liaison between one or more business units and the enterprise's data and AI capabilities. This role entails extensive responsibilities, managing all project and technology aspects to exert significant influence within the organization. Exercising a high degree of autonomy, the role oversees the end-to-end advisory process—translating complex business requirements into actionable opportunities and ensuring alignment between business strategy and technical execution.

This position manages a dynamic portfolio of initiatives, steering work from intake through delivery activation. While direct implementation is not within their purview, the architect works closely with Technical Delivery Managers (TDMs) and technical Centers of Excellence (COEs) to scope work, define resource strategies, and ensure successful execution. They are respected as industry experts possessing a strong understanding of emerging technologies, particularly generative AI and intelligent automation, and assist business partners in the responsible adoption of these capabilities.

Beyond domain-specific contributions, the Staff Solution Architect enhances the broader advisory practice by sharing knowledge, refining tools, and helping elevate team capabilities. This role is ideal for individuals who excel in ambiguity, communicate clearly at all levels, and possess both strategic insight and technical expertise.

Key Responsibilities

• Serve as the primary strategic partner for one or more business units, aligning data and AI efforts with business priorities.
• Own and manage a living portfolio of in-flight and prospective initiatives, ensuring visibility and alignment across stakeholders.
• Lead intake and advisory processes—clarifying needs, framing problems, and identifying the most effective data and AI solutions.
• Translate high-level or ambiguous business challenges into structured, actionable opportunities.
• Collaborate with TDMs to scope work, define delivery milestones, and align stakeholders for successful execution.
• Build strong partnerships with COEs (e.g., data engineering, ML, GenAI, BI, governance) to ensure strategic alignment and readiness.
• Act as a connector between business and technical roadmaps—surfacing cross-cutting needs and championing relevant capabilities.
• Evangelize emerging technologies (especially GenAI), guiding responsible experimentation and adoption.
• Maintain hands-on familiarity with new tools and platforms to credibly support adoption discussions.
• Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and professional growth.
• Contribute to team knowledge and practices—sharing insights, refining frameworks, and mentoring peers as needed.

Qualifications

Additional Information

Location : Ann Arbor MI (Onsite Mon-Thurs, with Friday being flexible)

All your information will be kept confidential according to EEO guidelines.