Staff Business Data Architect

Job Description Summary

We are seeking an experienced and strategic Staff Business Data Architect to lead the design of scalable data solutions that drive business insights and innovation. This role will partner closely with business stakeholders, data engineering teams, and leadership to define data models, architect solutions, and enable advanced analytics and AI-driven decision-making.

Job Description

Key Responsibilities:

• Collaborate with business teams to understand data needs and translate them into scalable architecture and models.
• Design enterprise-grade data solutions, including data lakes, warehouses, and semantic layers.
• Design element should include concepts such as knowledge graph and data ontology
• Define and maintain conceptual, logical, and physical data models aligned with business strategy.
• Lead the development of dashboards, KPIs, and analytics solutions that provide actionable insights.
• Identify predictive and prescriptive use cases and requirements from business discussions
• Drive data governance, quality, and stewardship initiatives across business domains.
• Evaluate and integrate AI/ML capabilities into data architecture to support predictive and prescriptive analytics.
• Provide architectural guidance on cloud platforms (AWS or Azure) for data solutions.
• Act as a strategic advisor to leadership on data strategy, architecture, and innovation.

Education Qualification

• Bachelor’s degree in Computer Science, Information Systems, Data Science, , or a related technical field.
• Equivalent experience considered in lieu of a degree (e.g., 7+ years in data architecture across enterprise programs).

Business Acumen:

• Ability to translate business strategy into data architecture and identify predictive/prescriptive analytics opportunities.
• Strong understanding of KPIs, ROI, and value-driven data solutions across domains like Sales, Finance, Supply Chain, and Customer Experience.
• Knowledge of data governance, compliance, and risk management

Leadership:

• Acts as strategic advisor on data strategy and design discussions;
• Leads design of scalable business data solutions using data lakes, warehouses, semantic layers, knowledge graphs.
• Mentors teams, drives cross-functional alignment, and communicates effectively with executives and technical teams.

Additional Information