[Hiring] Senior Data Architect - Associate Director @Crowe

Role Description

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 can 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.

Requirements

• 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.
• Good written and verbal communication.
• Strong analytical and time management skills.
• Strong facilitation skills with the ability to drive issues to closure.
• Self-motivated and able to handle tasks with minimal supervision or questions.
• Ability to compare technologies and make recommendations to senior members of the team.
• Understanding of privacy laws and regulations.

Benefits

• Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package.
• We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations.