Senior Data Architect - Associate Director

Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
What You’ll Do
Enterprise Information Architect & BIDW Leader will establish and deliver upon the enterprise information architecture vision for enterprise-level solutions. This role is responsible for the delivery of business Intelligence & data warehouse solutions to the firm, including the information architecture and management processes of the BI data warehouse and leading the BI function and team.
Responsibilities
LEADERSHIP
Ownership of and accountability for successful results of the Data Warehouse & Business Intelligence teams within Data Transformation.
Thought leadership in matters of enterprise data architecture, staying abreast of new technologies, patterns and methods which c an be applicable to Crowe data
Development of team strategy, creation and socialization of roadmaps, establishing and ensuring adherence to timelines, and resource assignment for the BIDW team
Seek opportunities to bring value to the Crowe business and/or its customers through innovative enterprise data and BI strategies to support strategic business goals
Develop quantifiable goals for the team which are aligned with Data Transformation’s strategic goals as well as Crowe’s strategic business initiatives
Mentor and coach developers, data engineers, managers, and other roles within team, intentionally managing career growth via mentorship and proactive planning
Actively participate in and collaborate with technical guilds to further expose and align the firm on best practices
Understand when to delegate; this role manages resources and owns the entire team’s success
Responsibility to track and maintain clear visibility into the value and delivery timing of BIDW team initiatives for Head of Data and business stakeholders
DEMAND MANAGEMENT & BUSINESS ENGAGEMENT
Collaboration with Head of Data and/or other firm leaders to understand strategic business needs and requirements, and planning team and technology capacity accordingly
Communication and engagement to ensure the business sees maximum value from its data warehouse and business intelligence investments
Develop and maintain an understanding of business needs, technical architecture and systems landscape, and the technology strategy of the business
Collaborate with both BIDW team and Data Transformation leaders to establish goals, plan capacity, support other Data Transformation initiatives, and leave margin for learning and unexpected shifts
PROGRAM DESIGN, DEVELOPMENT & DEPLOYMENT
Ultimate ownership for team delivery quality and schedule
Work closely with technology and business personnel to deliver value in a timely manner
Accountability for team using best practices for development and quality assurance aligned with firmwide standards, seeking opportunities to automate and improve
CONTINUOUS IMPROVEMENT
Champion a culture and mindset of excellence, collaboration, continuous improvement, design thinking and positivity
Establish metrics to monitor and tangibly demonstrate the value provided to the business via effectiveness, quality metrics, sensitive data monitoring as well as alert to any negative trends in these areas
Work with stakeholders to prioritize continuous improvement
Assess and recommend opportunities to retire/consolidate redundant legacy system assets
ADOPTION & VALUE REALIZATION
Work with team and business users to ensure successful adoption, usage, and benefit realization from solutions
Define and track KPIs and success metrics for adoption and value creation
Specific responsibility expectations by the components listed below –
Information Architecture Vision: Establish the Enterprise Information Architecture vision within the context of business strategy and in alignment with overall Technology & Strategy direction.
Translate strategic requirements into a usable enterprise information architecture, which may include an enterprise data model, common business vocabulary, ontology, and taxonomies, to guide enterprise solution development and achieve consistency of information assets.
Create an information architecture consistent with the business, application, and technical architectures.
Facilitate the mapping and traceability of information assets as they flow from source datastores to targets, thus ensuring optimal transparency, quality, consistency, and controlled redundancy.
Information Architecture Delivery: Work with and mentor delivery teams to provide data solutions that are in keeping with the enterprise information architecture. This may include:
Assessing suitability of vendor solutions to meet enterprise information requirements.
Construct, refine and maintain information models, as needed, to meet business requirements and drive data designs for operational and analytical solutions.
Facilitate the definition of integrative and canonical views of data or information across multiple content types to support convergence of information asset migration planning or impact analysis.
Ensure new development is consistent and well-integrated with the established enterprise information architecture, using metadata management and/or a repository to promote reuse and standards adoption.
Review corporate data sources for new business information and better data sources. Assist in post-implementation improvement efforts to enhance performance and provide increased functionality.
Participate in key project design reviews as part of the methodology process to ensure application designs adhere to enterprise information architecture guidelines.
Provide oversight for the BI Data Warehouse. Design an enterprise-wide integrated Data Warehouse for
Business Intelligence by modeling new and enhancing existing BIDW datamarts. Establish logical and physical models, maintain metadata, and guide integration engineers for the physical datamart schema and logical integration (ETL) processes. Assist, as required, with testing and issue resolution. Establish and enhance governance processes for the BI Data Warehouse (naming conventions, conformed dimensions and facts, meta-models, security configuration) to ensure a consistent implementation across all datamarts.
On large implementation projects, deliver project artifacts including: Data Integration Inventory, 360 Data Integration Diagram, Core structures diagram, Data Integration Requirements document and Test Plans, Report Inventory, Reporting Gap Analysis and Strategy, and Historical Data Strategy
Business Intelligence Team Leadership: Provide leadership, oversight, and quality assurance for BI Team and team deliverables. This may include:
Manage and coach BI team members in delivery of high-quality business intelligence solutions. Assist to estimate effort / duration for new requests and change orders. Track work queue, assign and adjust priorities and due dates based on client requirements and DT Leadership direction. Provide BI team with visibility to DT projects and project pipeline. Provide a forum for BI team collaboration on BI and Data Warehouse design and technical challenges.
Establish, document, and maintain best practices for Business Intelligence and Data Warehousing.
Qualifications
Bachelor’s degree in Computer Science, Data Analytics, Data/Information Science, Information Systems, Mathematics (or other related fields)
6+ years of experience with SQL
4+ years of experience in Business Intelligence, data analysis, and reporting
4+ years of experience with Microsoft Power BI, including DAX, Power Query, and M language.
2+ years of experience with Python (or other programming languages)
4+ years of experience managing projects from inception to execution.
Preferred Qualifications
Microsoft Fabric Analytics Engineer certifications preferred.
Strong understanding of Data Warehousing and Business Intelligence concepts, Data Quality, and the related technology landscape, processes, and design principles
Proven track record in operating large data warehouse and business intelligence programs
Experience in managing enterprise data assets in a large, complex organization
Should be familiar with cloud and data management trends and methodologies
Ability to analyze complex situations and to derive workable actions
Ability to constructively challenge requirements and current state to increase overall value to the firm
Strong relationship building skills
Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change