Senior Data Architect - Associate Director

Crowe•Indianapolis, IN

6d•Remote

About The Position

The Senior Data Architect - Associate Director establishes and delivers the enterprise information architecture vision for enterprise-level solutions and leads the delivery of business intelligence and data warehouse solutions for Crowe. The role oversees the information architecture and management processes of the BI data warehouse and leads the BI function and team within Data Transformation. The position owns the Data Warehouse and Business Intelligence teams’ results, strategy, roadmaps, delivery quality, schedules, and resource planning. It works with firm leaders and stakeholders to align team capacity and technology with strategic business needs, demonstrate value, support solution adoption, and drive continuous improvement. It also establishes enterprise information architecture, guides data modeling and integration, oversees the BI data warehouse, and provides leadership and quality assurance for BI team deliverables. This is a remote role. The expected annual wage range is $151,100 to $318,600. The application deadline is February 28, 2027. Crowe is not sponsoring work authorization at this time.

Requirements

Bachelor’s degree in Computer Science, Data Analytics, Data/Information Science, Information Systems, Mathematics, or a related field.
At least 6 years of experience with SQL.
At least 4 years of experience in business intelligence, data analysis, and reporting.
At least 4 years of experience with Microsoft Power BI, including DAX, Power Query, and M language.
At least 2 years of experience with Python or another programming language.
At least 4 years of experience managing projects from inception through execution.
Strong understanding of data warehousing and BI concepts, data quality, and related technology landscapes, processes, and design principles.
Strong relationship-building, written and verbal communication, analytical, time-management, and facilitation skills.
Ability to analyze complex situations and derive workable actions; constructively challenge requirements and current state to increase value.
Ability to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
Self-motivated and able to handle tasks with minimal supervision; able to compare technologies and make recommendations to senior team members.
Understanding of privacy laws and regulations.
Ability to uphold Crowe’s values of Care, Trust, Courage, and Stewardship and to act ethically and with integrity.

Nice To Haves

Microsoft Fabric Analytics Engineer certifications.
Proven track record operating large data warehouse and business intelligence programs.
Experience managing enterprise data assets in a large, complex organization.
Familiarity with cloud and data management trends and methodologies.

Responsibilities

Own and ensure successful results for the Data Warehouse and Business Intelligence teams within Data Transformation.
Provide thought leadership on enterprise data architecture and stay current with applicable technologies, patterns, and methods.
Develop team strategy and roadmaps, communicate plans, manage timelines and resource assignments, and maintain visibility into initiative value and delivery timing.
Identify innovative enterprise data and BI strategies that support Crowe’s strategic business goals and create value for the firm and its customers.
Set quantifiable team goals aligned with Data Transformation and Crowe priorities; mentor and coach team members and support their career growth.
Collaborate with the Head of Data, firm leaders, and stakeholders to understand strategic needs, plan capacity, and maximize the value of data warehouse and BI investments.
Maintain an understanding of business needs, technical architecture, systems, and technology strategy; coordinate priorities and capacity with Data Transformation leaders.
Own team delivery quality and schedule, work with business and technology personnel, and ensure best practices, quality assurance, automation, and firmwide standards are applied.
Promote excellence, collaboration, continuous improvement, design thinking, and positivity; establish metrics for effectiveness, quality, sensitive-data monitoring, and value delivery.
Prioritize continuous improvement and recommend retiring or consolidating redundant legacy systems.
Support successful adoption, usage, and benefit realization of solutions; define and track adoption and value-creation KPIs.
Establish enterprise information architecture in alignment with business strategy and technology direction, including enterprise data models, common business vocabulary, ontology, and taxonomies where needed.
Ensure information architecture aligns with business, application, and technical architectures and enable traceability of information assets from source systems to targets.
Mentor delivery teams and assess vendor solutions to ensure data solutions align with enterprise information architecture.
Construct, refine, and maintain information models; facilitate integrated and canonical data views across content types; use metadata management or repositories to encourage reuse and standards adoption.
Review corporate data sources, participate in project design reviews, and support post-implementation improvements to performance and functionality.
Provide oversight for the BI data warehouse; design and enhance an enterprise-wide integrated data warehouse by modeling datamarts and establishing logical and physical models and metadata.
Guide integration engineers on physical datamart schemas and logical ETL processes; assist with testing and issue resolution as needed.
Establish and enhance BI data warehouse governance, including naming conventions, conformed dimensions and facts, metamodels, and security configuration.
Deliver implementation artifacts as needed, including data integration inventories and diagrams, core structure diagrams, integration requirements and test plans, report inventories, reporting gap analyses and strategies, and historical data strategies.
Lead, oversee, and assure the quality of BI team deliverables; coach team members in delivering high-quality BI solutions.
Estimate effort and duration for requests and change orders; track the work queue and assign or adjust priorities and due dates according to client needs and leadership direction.
Give the BI team visibility into Data Transformation projects and pipeline, facilitate collaboration on design and technical challenges, and document and maintain BI and data warehousing best practices.