Introduction
At IBM, we're driven to create innovative solutions that transform industries and lives. We are seeking a collaborative and confident Enterprise Architect for our Productivity Measurement Lab (PML) to lead the Productivity measurement initiatives to measure productivity by defining key performance indicators (KPIs), identifying heterogeneous user bases for testing, and leveraging A/B testing to compare traditional approaches with those utilizing IBM Consulting assets and AI-powered assistants.
In addition to productivity measurement, this role involves implementing processes and practices to continuously enhance productivity through continuous delivery releases for IBM Consulting AI powered assistants and assets. The ideal candidate will have extensive Cloud transformation and automation experience in large-scale enterprise applications and proven expertise in implementing usage, adoption, and segment tracking. The platform and asset offerings will support both SaaS and on-premises deployment models. Our global development teams for platform and assets are spread across India, the US, Romania, and China.

• Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
• Experience in developing AI-driven solutions and assets utilizing Retrieval-Augmented Generation (RAG) and Agentic frameworks.
• Experience in using large language models programmatically or frameworks such as LangChain or LlamaIndex.
• KPI Definition and Establishment: Define and establish key performance indicators (KPIs) to measure productivity and effectiveness of a diverse set of assets serving various domains and industries.
• User Base Segmentation: Identify and segment heterogeneous user bases to enable effective A/B testing and targeted analysis.
• Global Collaboration: Collaborate with global development, service line, and delivery teams across the world to drive unified efforts and achieve project goals.
• Data-Driven Pricing Decisions: Drive pricing decisions based on outcomes from productivity measurements, ensuring competitive and value-driven pricing strategies.

• Educational Background: Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience. An advanced degree is a plus.
• Technical Proficiency: Extensive knowledge of software development tools and methods, including Agile methodologies, programming languages (such as Java and C++), scripting languages, performance benchmarking, and A/B testing tools.
• SaaS and On-Premises Deployment Experience: In-depth experience with both Software as a Service (SaaS) and on-premises deployment models, including associated challenges and solutions.
• Digital Adoption Platforms: Experience with digital adoption platforms such as WalkMe, including implementation and optimization strategies.
• Leadership Abilities: Strong leadership skills with a proven track record of managing and motivating cross-functional, global teams to achieve project goals.

• Project Management Expertise: 5+ years of experience in Project Management with a focus on Productivity measurement, Process optimization and Performance Management. Prior experience in managing Projects, particularly within technology or consulting environments, demonstrating the ability to manage extensive and complex projects.
• AI Infusion: Interest and ability to integrate Artificial Intelligence (AI) and Natural Language Processing (NLP) into productivity measurement-related initiatives, driving innovation and efficiency.
• Agile Project Management Tools: Proficiency with Agile Project Management tools (e.g., GitHub, ZenHub, JIRA), including the ability to utilize these tools for project tracking and management.