Senior Knowledge Analyst

What you will do:
You will provide first-line support to client service teams, delivering high-quality analysis, insights, and expertise to address their needs.
You will play a critical role in supporting a broad range of client project teams across various practices. You will collaborate with project teams to scope their requirements, clarify objectives, and determine the best delivery approach. You will conduct in-depth research using qualified proprietary and external databases, perform standard analyses, and package your insights into client-ready formats like documents, databases, models, and charts.
Beyond direct client projects, you will support the development and codification of our knowledge assets, such as detailed documents, knowledge nuggets, and qualification packs. You will also contribute to the creation of Letters of Proposal and client development materials. Your advisory responsibilities will include guiding clients on global technology trends in areas like technology finance, sourcing, tech and AI talent, and AI adoption across industries. Additionally, you will support IT Services-focused client work, covering cost optimization, margin and productivity improvement, delivery model redesign, and technology-enabled operating model transformation.
An essential part of your work will involve conducting operational diagnostics for IT Services businesses and technology delivery organizations. You will analyze utilization, billability, pyramid mix, span and layer, onsite-offshore mix, bench levels, attrition, and overall project profitability. You will also help clients identify high-value Generative AI use cases—such as knowledge assistants, coding copilots, and customer operations—shaping their business cases and defining success metrics. Through this, you will identify opportunities for agentic GenAI-led transformation across workflows like application development, testing, incident resolution, service desk, and project management.
You will build business cases by estimating productivity uplift, cost savings, margin expansion, and changes to delivery models. You will also contribute to data readiness for AI solutions by assisting in mapping datasets, defining data ontologies, and exploring data graph models. To be successful, you must maintain current perspectives on agentic and Generative AI models and platform choices, including Azure OpenAI Service, AWS Bedrock, Google Vertex AI, and open-weight models. Finally, you will take the initiative to support and coach junior colleagues, fostering a collaborative, high-performing environment as you work closely with experienced team members.

Who you will work with:
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters:
From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits:
On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your background:
An undergraduate degree in engineering
3+ years of work experience in Digital/IT services, preferable exposure to AI strategy or related topics
Experience or strong interest in IT Services industry topics, including cost optimization, delivery productivity, operating model transformation, and technology talent strategy
Familiarity with IT Services delivery models and service lines, such as application development, application maintenance, testing, infrastructure services, cloud, cybersecurity, data/AI services, service desk
Ability to analyze IT Services business and operating metrics, such as utilization, billability, pyramid mix, bench, attrition, revenue per FTE, cost per FTE, delivery productivity, SLA adherence etc
Proficient in rational decision making based on data, facts, and logical reasoning. Strong analytical and quantitative skills; good problem-solving capabilities
Understanding of IT Services market trends, including AI-led productivity shifts, demand-supply dynamics for technology talent, global delivery models, location strategy, vendor consolidation, pricing model evolution, and automation-led disruption
Familiarity with recent technological advancements on GenAI/Agents and adaptability to work in an environment which is enabled by GenAI capabilities for day-to-day work
Familiarity with GenAI and agentic AI use cases in IT Services, such as coding copilots, automated testing, ticket triage, incident resolution, application maintenance automation, knowledge assistants
Ability to create product-focused materials/outputs, which would include PowerPoint decks, Excel models, and interactive dashboards etc.
Data foundations for AI: familiarity with data mapping, data ontologies, and graph-based data representation; ability to work with structured/unstructured data in AI contexts
Understanding of data foundations relevant to IT Services AI transformation, including process taxonomies, ticket data, delivery artifacts, skills taxonomies