Senior Data Architect / Analyst IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilitiesAs a Senior Data Architect specializing in Business Intelligence, you will design business intelligence or analytics applications that run on multiple platforms and are composed of multiple software packages/tools. Your expertise will enable organizations to improve their business performance by leveraging data about their clients, suppliers, and internal business operations.

Your primary responsibilities will include

• Design Business Intelligence Solutions:

  Design the technical components of a business intelligence solution, including full lifecycle implementation, to meet business requirements and improve performance

• Develop Data Architecture:

  Create logical and physical data models for business intelligence specific information, ensuring data integrity and scalability

• Optimize Performance:

  Tune and transform business intelligence solutions to ensure optimal performance and efficiency

• Develop Test Strategies:

  Collaborate with teams to build test strategies and ensure solutions meet business requirements

•

Deliver Solution Designs:

Design solutions for dashboards, reporting, and integration, meeting business needs and stakeholder expectations.

Required technical and professional expertise

• Business Intelligence Tool Selection:

  Experience with selecting and implementing Business Intelligence (BI) tools such as Tableau, Cognos, and Qlik to meet business requirements

• Data Architecture Design:

  Experience with designing logical and physical data models for business intelligence specific information, ensuring data integrity and scalability

• Solution Design and Implementation:

  Experience with designing and implementing business intelligence solutions, including full lifecycle implementation, to meet business requirements and improve performance

• Performance Tuning and Optimization:

  Experience with tuning and transforming business intelligence solutions to ensure optimal performance and efficiency

•

Technical Component Design:

Experience with designing technical components of a business intelligence solution, including reporting wireframe creation and dashboard design.

Requires Top Secret Clearance with SCI accessPreferred technical and professional experience

• Strategy Development Expertise:

  Experience with developing strategies for business intelligence solutions, including aligning with business objectives and identifying opportunities for improvement. This involves analyzing business needs, defining solution requirements, and creating strategic plans for implementation

• Data Modeling Knowledge:

  Experience with logical and physical data modeling for business intelligence specific information, ensuring data integrity and scalability. This includes designing data architectures, creating data models, and ensuring data quality

•

Performance Optimization Skills:

Experience with tuning and transforming business intelligence solutions to ensure optimal performance and efficiency. This involves identifying performance bottlenecks, optimizing system configuration, and implementing best practices for performance improvement.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.