Senior Director - Data & AI - Platform Engineering Lead, DTS - Global Capability Center

Alvarez & Marsal; Gurugram District; On-site; INR 3,500,000 - 5,600,000; Full time

Job summary

Alvarez & Marsal in India is seeking a senior Data & AI Platform Architect to lead the end-to-end design and governance of a unified data and AI platform. You will own lakehouse architectures, ML pipelines, and GenAI tooling, working with cloud providers and enterprise stakeholders to deliver scalable, secure, and cost-efficient solutions across the organization.

The role demands 17+ years of experience, strong leadership, and a track record of building reusable architectural IP, enabling

Qualifications

• 17+ years of experience across data engineering, data architecture, and AI/ML platform engineering.
• Strong hands-on expertise with cloud data stacks and modern data architectures.
• Proven leadership in building enterprise Data & AI platforms end-to-end.

Responsibilities

• Architect and oversee the enterprise Data & AI platform end-to-end.
• Define platform principles for scalability, cost-efficiency, responsible AI, and security/compliance.
• Define and own the Data & AI Platform Engineering CoE charter, vision and roadmap.
• Partner with business, data science, and product leadership to translate AI/ML and data needs into platform capability and staffing models.
• Represent the Data & AI Platform vision in governance forums, steering committees, and global leadership reviews.

Skills

Data & AI Platform Architecture

Enterprise Data Platform

Cloud (AWS/Azure/GCP)

MLOps / GenAI tooling

Stakeholder Management

Education

Bachelor's or Master's in Computer Science / Engineering

Tools

Snowflake

Databricks

BigQuery

Redshift

SageMaker

Vertex AI

Airflow

Kubeflow

Job description

Description

About Alvarez & Marsal is a global consulting firm with over 10,000 professionals in over 40 countries. We take a hands‑on approach to solving clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

Our DTS team covers the full breadth of Technology Consulting and M&A services, including:

• Technology M&A and Strategy – Assist clients to manage the technology aspects and business enablement of complex M&A, integrations and carve-outs as well as post‑deal value creation
• Technology Consulting – End to end technology advisory for clients, including developing technology roadmaps, platform/cloud/data advisory as well as transformation excellence for a digital transformation
• Data & AI services – Helping clients in harnessing the power of data and cutting‑edge analytics to drive intelligent decision making and transform businesses.
• Develop GenAI and Agentic AI solutions that create real business value for clients through process re‑invention

How will you contribute?

Data & AI Platform Architecture & Strategy – Own the unified Data & AI Platform vision and roadmap spanning data foundation (ingestion, storage, governance) and AI/ML Engineering.

1. Architect and oversee the enterprise data platform: Lakehouse design, real‑time/streaming pipelines, master/reference data, metadata and lineage.
2. Architect and oversee the AI platform layer: ML pipelines (MLOps), feature stores, model registries, model serving/inference infrastructure, GenAI/LLM platform and orchestration (RAG pipelines, agentic frameworks, prompt/eval infrastructure).
3. Define platform principles for scalability, cost‑efficiency, responsible AI, and security/compliance (data privacy, model governance, AI risk) across GCC.
4. Define and own the Data & AI Platform Engineering CoE charter, vision and roadmap aligned to enterprise data and AI strategy.
5. Build reusable frameworks, accelerators, and reference architectures across both the data engineering and AI/ML platform lifecycle.
6. Partner with business, data science, and product leadership to translate AI/ML and data needs into platform capability and staffing models.
7. Ensure compliance with Data & AI governance, security, and regulatory requirements relevant to the enterprise.
8. Represent the Data & AI Platform vision in governance forums, steering committees, and global leadership reviews.
9. Build relationships with cloud hyperscalers and Data & AI platform vendors (model providers, MLOps tooling, GenAI platforms).
10. Drive adoption of modern patterns: Lakehouse architecture, data mesh, MLOps/LLMOps best practices, agentic AI architectures, DataOps, Data & AI Governance frameworks.

Qualifications

• 17+ years of experience across data engineering, data architecture, and AI/ML platform engineering, with at least 5–8 years in a senior architecture or platform leadership capacity.
• Bachelor's or master's in computer science / engineering.
• Deep, hands‑on technical expertise across the modern data and AI stack: cloud platforms (AWS/Azure/GCP), big data ecosystems (Spark, Kafka), data warehousing/Lakehouse (Snowflake, Databricks, BigQuery, Redshift), ML platforms (SageMaker, Vertex AI, Azure ML, Databricks ML, Kubeflow), orchestration (Airflow, MLflow), and GenAI/LLM tooling (vector databases, RAG frameworks, LLM orchestration/agentic frameworks).
• Proven experience building, scaling and owning enterprise Data & AI platforms end‑to‑end — from architecture and platform design through to adoption.
• Track record of building competency frameworks, accelerators, and reusable architectural IP.
• Excellent stakeholder management skills with experience presenting architecture and capability strategy to CXO‑level/global leadership audiences.

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top‑notch training and on‑the‑job learning opportunities, you can acquire new skills and advance your career. We prioritize your well‑being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique entrepreneurial culture, and the fun we have together as their favorite aspects.