Sr Manager - GenAI Solution Development

Organization:- Leading Global Management Consulting Organization

Role :- Senior Manager - AI(70% individual contribution + 30% People Management)

Experience :- 10+ Years

What You'll Do

As part of Knowledge Data & Analytics team, you will play a key leadership role in delivering AI, GenAI, and advanced analytics solutions across Knowledge teams. You will operate both as a hands-on technical expert and as a people leader, shaping our AI and analytics capabilities while managing a team of data analysts, engineers, and data scientists to deliver high-impact outcomes.

In this role, you will:

• Lead and develop high-performing teams in designing, building, and scaling robust data engineering and backend systems using Python, SQL, and modern data platforms (e.g., Snowflake, AWS Glue, Lambda).
• Design and implement AI-driven analytics solutions, apply advanced machine learning and GenAI techniques such as prompt engineering, LangChain integration, and agentic AI frameworks leveraging OpenAI and similar platforms.
• Architect scalable data pipelines and foundations to support enterprise-wide analytics, automation, and AI-driven decision-making.
• Develop reusable, modular, and efficient solutions to enable large-scale data transformation, integration, and automation workflows.
• Work across Data & Analytics teams to drive capability development, best-practice sharing, and a culture of technical excellence across teams.
• Establish and uphold best practices for model development, validation, documentation, and ethical AI, ensuring consistency and quality across all initiatives.
• Translate complex data challenges into actionable strategies, ensuring initiatives are aligned with Organizations broader business and knowledge goals.
• Foster innovation and continuous improvement by driving agile ways of working and empowering cross-functional collaboration.
• Partner with global stakeholders to define and execute data and AI strategies, ensuring technical solutions deliver measurable business value.
• Communicate insights and technical concepts effectively, simplifying complex narratives for senior stakeholders and non-technical audiences.
• Leverage visualization tools (e.g., Tableau, Power BI) to craft intuitive dashboards and data stories that enhance understanding and impact.

What You'll Bring

• 10+ years of experience in Data & Analytics, with demonstrated leadership across data engineering, data science, and AI-driven analytics.
• Expert-level proficiency in Python, with hands-on experience building, optimizing, and automating large-scale data workflows and pipelines.
• Deep expertise in Snowflake, SQL, and AWS services (Glue, Lambda, S3), including architecture design, API integration, performance tuning, and governance best practices.
• Strong understanding of data architecture principles including dimensional modeling, schema design, data quality management, and real-time/batch data processing.
• Hands-on exposure to AI and GenAI technologies, such as OpenAI APIs, LangChain, and agentic AI systems, applied to real-world analytics and knowledge use cases.
• Ability to design and implement AI-enhanced data solutions integrating large language models (LLMs) and retrieval-augmented generation (RAG) techniques, leveraging AI for data enrichment, anomaly detection, and automated insights or reporting.
• Familiarity with data visualization and BI tools (e.g., Tableau, Power BI); certifications are advantageous but not mandatory.
• Experience leading and developing teams within an Agile (Scrum) delivery model, fostering collaboration, ownership, and innovation.
• Strategic and systems thinking, with the ability to connect technical execution to organizational priorities and long-term value creation.
• Excellent communication and stakeholder management skills, with the ability to influence through insight, data storytelling, and technical credibility.

Who You'll Work With

Youll be part of Knowledge Data & Analytics team within the Knowledge portfolio, collaborating with global stakeholders across functions and regions. The role will be based in Gurugram as part of the larger Data & Analytics group, which supports multiple functions across by driving data strategy, analytics innovation, and AI-enabled capabilities.

In this role, youll work closely with internal stakeholders to design and deliver data-driven, visualization, and innovation solutions that enhance decision-making, optimize processes, and create measurable business impact across the firm.

Additional info

YOU'RE GOOD AT

• Leading and inspiring technical teams you foster collaboration, clarity, and accountability across diverse, global teams of data scientists, engineers, and analysts.
• Bridging strategy and execution you can define data and AI vision while remaining hands-on in technical delivery, ensuring that architecture and solutions meet real business needs.
• Applying deep technical expertise you bring strong knowledge of data science, machine learning, large language models (LLMs), and generative AI frameworks (e.g., LangChain), with hands-on experience in prompt engineering and retrieval-augmented generation (RAG) techniques.
• Designing and scaling AI solutions you understand how to design, optimize, and scale AI and data solutions on AWS, GCP, and Azure, leveraging modern cloud architectures and MLOps best practices.
• Designing for scalability and performance youre experienced in building and optimizing data architectures, pipelines, and model deployment frameworks that support enterprise-grade analytics.
• Driving innovation and continuous improvement you explore and integrate emerging AI technologies and methodologies to enhance analytical capabilities and efficiency.
• Simplifying complexity you can translate advanced technical concepts into clear, actionable insights for senior business stakeholders.
• Collaborating across disciplines you partner effectively with data engineers, analysts, product managers, and business leaders to align technical execution with strategic objectives.
• Coaching and capability building youre passionate about developing talent, establishing best practices, and cultivating a culture of technical excellence and learning.
• Operating with agility and structure you thrive in fast-paced, evolving environments, using agile principles to balance innovation with disciplined delivery.