MANAGER, BUSINESS INTELLIGENCE & DATA ARCHITECTURE

Jushi•Boca Raton, FL

About The Position

The Manager, Business Intelligence & Data Architecture owns the systems and data used by Jushi leadership to understand business performance. The role connects financial systems, the enterprise data warehouse, and business insights. It designs and manages data warehouse and database structures, connects and reconciles financial and operational systems, and develops dashboards and analyses for leadership. The position combines hands-on work in SQL, Python, and data pipelines with partnership across Finance, Operations, and executive leadership. The successful candidate builds trusted, consistent business data by understanding how systems such as the general ledger, point-of-sale, and inventory platforms relate and modeling their data effectively. The role also establishes the data and BI roadmap, leads and develops analysts and developers, and promotes data-informed decision-making across the organization. Jushi identifies, evaluates, and acquires U.S.-based cannabis operations to vertically integrate, produce, and distribute medical-grade cannabis formulations and related products. Duties may change based on business needs and organizational priorities. The employee may also support special projects, system implementations, financial reporting initiatives, and other data or analytics activities as assigned.

Requirements

Bachelor's degree in Computer Science, Information Systems, Finance, or a related field, or equivalent experience.
7+ years of experience in data architecture, data engineering, or business intelligence, including 2+ years leading a team or major projects.
Proven experience designing and managing an enterprise data warehouse, including dimensional modeling and ETL/ELT pipelines.
Expert SQL skills, including complex queries, stored procedures, and performance tuning.
Strong Python skills for automation and integration.
Advanced Power BI skills, including semantic models, DAX, Power Query, row-level security, and workspace governance.
Experience integrating ERP and financial data, including general ledger, chart of accounts, and month-end close, with operational sources such as POS and inventory.
Track record of translating business and finance requirements into KPIs, dashboards, and executive-ready insights.
Understands how operational activity flows into financial results.
Communicates technical work and findings clearly to executives and non-technical users.
Balances hands-on technical work with team leadership and strategy.
Maintains high standards for data accuracy, security, and documentation.
Manages competing priorities in a fast-paced, multi-state environment.

Nice To Haves

Experience with Microsoft Fabric, Azure (Data Factory, Synapse, Azure SQL), Snowflake, or Databricks.
Hands-on ERP experience, such as NetSuite, Microsoft Dynamics 365, or Sage Intacct.
Microsoft certifications such as PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).
Git and CI/CD practices for data and reporting code.
Experience in cannabis or another highly regulated, multi-location industry.

Responsibilities

Own the design, development, and management of the enterprise data warehouse, using dimensional modeling such as star schemas and fact and dimension tables.
Build and maintain ETL/ELT pipelines and APIs integrating POS, ERP, HR, Retail, Cultivation, Manufacturing, and inventory data.
Write and optimize production SQL and Python, using version control, code review, and performance tuning.
Establish data governance, including data dictionaries, lineage, access controls, and documentation.
Serve as the primary data and systems partner to Finance and Accounting across the ERP, general ledger, and related platforms.
Reconcile financial data so the warehouse ties to the general ledger and source systems such as POS and inventory.
Support month-end and quarter-end close by automating data feeds, reconciliations, and recurring financial reports.
Support system implementations, audits, and regulatory reporting with accurate, well-documented data.
Partner with executives and department heads to translate business objectives into KPIs, dashboards, and analyses.
Lead Power BI development, including dashboards, semantic models, DAX, and row-level security, while maintaining consistent standards and metric definitions.
Build executive scorecards showing performance by state, location, and function.
Support forecasting, budgeting, and planning with statistical and predictive analysis.
Set the data and BI roadmap and priorities in partnership with leadership.
Lead, mentor, and develop analysts and developers.
Partner with IT and vendors on integrations and security, and train business users on self-service reporting.
Automate manual processes and promote data-driven decision-making across the organization.
Support special projects, system implementations, financial reporting initiatives, and other data or analytics activities as assigned.