Manager - Software Engineering

McKinsey & Company -
Bengaluru, Karnataka

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Job details

14 hours ago

Qualifications

Ontology
MCP
SAP HANA
Enterprise Software
SAP
SAP S/4HANA
AI
Graph databases
Analytics

Full job description

Job ID: 109290

You will develop digital solutions for our Finance function within the firm primarily built on SaaS based products having tight integration with other firm digital products.

Bengaluru

Gurugram

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will lead the design and implementation of enterprise-scale data and AI solutions leveraging SAP HANA Cloud, SAP Analytics Cloud (SAC), and Generative AI on SAP BTP.

You will architect and deliver scalable, secure, and performance-optimized analytical models built on HANA Cloud calculation views, enabling advanced reporting capabilities through SAC stories and models. You will ensure that data models are robust, governed, and optimized for enterprise-grade performance.

Beyond traditional analytics, you will design and embed GenAI-driven capabilities into enterprise workflows to enhance decision intelligence and business process automation. This includes operationalizing AI solutions using SAP AI Core and AI Launchpad, integrating Large Language Models (LLMs) with enterprise data in a secure and cost-efficient manner, and leveraging capabilities such as the HANA Cloud Vector Engine to implement semantic search and retrieval-augmented generation patterns.

You will play a key role in shaping AI-enabled analytics architecture, ensuring scalability, governance, and alignment with enterprise security standards while driving innovation across the SAP ecosystem.

YOUR GROWTH

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
Exceptional 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 QUALIFICATIONS AND SKILLS

14+ years of hands-on experience in SAP Analytics technologies (SAP Analytics Cloud, HANA Cloud, SLT) with relevant SAP S4 HANA Cloud Finance, Controlling and Project module experience

Experience in at least 5-6 end-to-end implementation projects on analytics involving ERP system of application in either On-Premises or Cloud

Designing and operationalizing GenAI solutions using SAP AI Core and SAP AI Launchpad

Must have good knowledge of Joule in the context of analytics

Must have good knowledge of Agentic AI concepts like MCP and A2A protocol

Must have good knowledge of Ontology and Knowledge graphs in the context of GenAI

Integrating Large Language Models (LLMs) securely with enterprise systems and SAP data platforms

Must know about implementing Retrieval-Augmented Generation (RAG), semantic search, and knowledge orchestration patterns using HANA Cloud Vector Engine

Must know about building AI copilots, intelligent assistants, and conversational analytics experiences across SAP ecosystems

Designing robust data modeling architectures in HANA Cloud (calculation views, semantic layers, performance optimization, governance)

Building enterprise-grade analytics solutions in SAP Analytics Cloud, including story design, live connectivity, and planning integration

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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