Principal Consultant, Data Product Strategy

UDig•Atlanta, GA

4d•Hybrid

About The Position

UDig is hiring a Principal Consultant, Data Product Strategy to join an enterprise client engagement. Embedded with the client’s International Technology Product and Operations team, this consultant will lead the strategy, roadmap, and adoption of data products that support international growth. The role is based in Atlanta, Georgia, with a hybrid schedule at the client’s office. The consultant will shape, mature, and scale data capabilities for the client’s international technology ecosystem, corporate staff, and restaurant owners. Acting as product owner and strategic partner, the role is responsible for data products, reporting capabilities, integrations, and insights that help restaurants, regional business units, shared-services teams, and business partners make informed decisions. The role defines the vision, priorities, requirements, roadmap, and adoption approach for international data products and insights. It partners with Product, Engineering, Data and Analytics, Operations, Finance, Support, regional business units, vendors, and enterprise partners to make data accurate, connected, understandable, and actionable. The position supports international expansion by turning complex ecosystem needs into scalable product capabilities that improve visibility, reduce manual work, strengthen operational confidence, and create repeatable patterns for future markets.

Requirements

Bachelor’s degree, or an equivalent combination of education, training, and experience.
7 to 10 years of relevant work experience.
Strong product mindset and ability to connect data capabilities to business outcomes, restaurant needs, and long-term scale.
Ability to understand business processes and translate them into clear data requirements, reporting needs, and decision-support capabilities.
Strong data fluency, including reasoning about data definitions, quality issues, source systems, integrations, reporting logic, and stakeholder interpretation.
Ability to define data product quality in terms of usability, trust, adoption, accuracy, clarity, supportability, and business value.
Strong stakeholder management skills and ability to align cross-functional teams, vendors, and leadership.
Ability to operate amid ambiguity, make thoughtful recommendations, and drive decisions when requirements, ownership, or data maturity are evolving.
Strong prioritization skills, balancing market needs, restaurant impact, support needs, technical complexity, and scalability.
Ability to identify recurring pain points and turn them into durable product improvements.
Strong communication skills, including documentation, explaining trade-offs, summarizing decisions, and telling a compelling story with data.
Ability to think systemically across products, platforms, processes, and teams.
Demonstrated leadership, collaboration, ownership, service orientation, and strong interpersonal skills.
Comfort working in a fast-paced, dynamic environment with multiple priorities, partners, and dependencies.
Ability to manage vendor relationships and hold partners accountable for outcomes.

Nice To Haves

Bachelor’s degree in a technical field.
10 or more years of relevant experience.
Strong knowledge of software development processes, methodologies, and tools.
Product Management certification.
Agile or Scrum certification.

Responsibilities

Lead product strategy, roadmap, and ongoing maturity for data products and reporting capabilities supporting the international technology ecosystem.
Partner with international restaurant technology product owners to understand data needs across point of sale, payments, menu, digital ordering, inventory, supply chain, restaurant financials, support, and market enablement.
Translate business needs, restaurant realities, regional priorities, and technical constraints into product requirements, user stories, acceptance criteria, and measurable outcomes.
Define and prioritize data product features based on business value, restaurant impact, supportability, scalability, data quality, and reuse across markets.
Align Product, Engineering, Data and Analytics, Operations, Finance, Support, regional business units, vendors, and enterprise partners on data definitions, ownership, availability, and usage.
Improve visibility into restaurant performance, operational health, product adoption, market readiness, support trends, financial accuracy, and ecosystem performance.
Establish repeatable data patterns for current and future markets, including reporting, dashboards, data integration, data validation, documentation, and decision support.
Partner with technical and analytics teams to ensure data pipelines, integrations, reporting models, and analytical products meet business needs and are designed to scale.
Support data readiness for market launches, product rollouts, and major transitions by identifying dependencies, gaps, quality risks, reporting needs, and adoption requirements.
Build and maintain a prioritized backlog for international data products, balancing urgent business needs with long-term scalability.
Define success measures and monitor product performance, adoption, data quality, support trends, and business outcomes to guide continuous improvement.
Create documentation, communications, and enablement materials explaining data products, definitions, reporting capabilities, known limitations, and decision paths.
Work with support and operations teams to identify recurring issues, reporting gaps, data quality concerns, and opportunities to improve reliability and operational confidence.
Collaborate with vendors and external partners across the creation, transformation, exchange, and consumption of ecosystem data.
Reduce manual reporting, spreadsheet workarounds, inconsistent definitions, and duplicated effort across markets, regional business units, and shared-services teams.
Support product and leadership decisions by turning complex information into clear insights, trade-off recommendations, and actionable next steps.