Sr Agentic Data Management Advisor

About the role

You will partner directly with the Head of Practice to shape and own the Data Management strategy for assigned customers, translating high level priorities into executable workstreams. You will take ownership of designing, developing, and deploying modern data management solutions that serve both data provisioning and consumption personas across the enterprise data ecosystem. A core part of your role will involve driving experimentation and proof of concepts with new tools, building accelerator solutions aligned to the data strategy, and ensuring rapid deployment for client benefit. You will lead end to end consulting engagements with a strong focus on Data Quality, Observability, metadata management, and data cataloging initiatives. In this capacity, you will coach junior team members and extended teams, elevating their capability through hands on guidance and technical mentorship. You will leverage emerging capabilities in AI, GenAI, Automation, and leading data and cloud platforms to continuously drive innovation. You will ensure clear, timely communication of risks, issues, and expectations to all stakeholders throughout the engagement lifecycle. Finally, you will be responsible for building robust solution architectures by assembling and integrating a diverse set of tools in a coherent and scalable manner.

Key facts

What you'll do

• Drive the development of data management platform solutions that incorporate modern capabilities to serve data provisioning and consumption needs within the enterprise.
• Simplify, streamline, and automate core data lifecycle processes including data ingestion, transformation, orchestration, discovery, MDM, data quality, data cataloging, exploration, and governance.
• Lead and conduct consulting engagements specifically centered on Data Quality, Observability metadata management, and data cataloging to address complex client problems.
• Explore and drive experimentation with new tools while building accelerator solutions aligned to the data management strategy for quick client deployment.
• Collaborate closely with internal team members and external clients to co create solution landscapes that address evolving data challenges.
• Leverage emerging technology capabilities such as AI, ML, GenAI, and Automation, alongside leading data and cloud platforms, to introduce innovative practices.
• Coach junior members of the team and extended partners, strengthening technical capabilities and delivery excellence across engagements.
• Ensure proposals for solutions are tightly aligned with customer data strategy, requirements, and organizational priorities.
• Liaise proactively with sales and delivery teams to ensure seamless execution and alignment of objectives.
• Demonstrate learning agility by rapidly acquiring and implementing new AI and Data concepts, tools, and solutions in live engagements.
• Maintain an outside-in perspective, generating and adopting innovative ideas that elevate data management practices.
• Exhibit strong customer orientation by deeply understanding client needs and translating them into actionable solution components.
• Communicate risks, issues, and expectations clearly and consistently to stakeholders at all levels of engagement.
• Build robust solution architectures by assembling and integrating multiple tools, platforms, and capabilities into cohesive designs.
• Passionately drive automation initiatives and remain hands on with technical deliverables to ensure quality and feasibility.

Requirements

• Bring a minimum of 10 years of experience in building data architecture and software solutions for organizations across diverse domains.
• Show a strong command over backend solution architecture and data engineering using tools such as Databricks, Spark, Microsoft Fabric, Snowflake, BigQuery, AWS Glue, and NoSQL databases.
• Prove experience of using agentic development tools such as Cursor, Claude Code, Github Copilot, or similar platforms to boost individual and team productivity.
• Have demonstrated experience implementing self serve, metadata driven data pipelines that enable scalable and reusable data services.
• Possess expertise in cloud platforms, with Azure and GCP experience being highly preferred for complex engagements.
• Hold experience that is highly desirable across at least three of the following specialized areas:

o Implementing data lakes, data lakehouse, data mesh, or data fabric architectures.

o Holding certification or hands on experience with any major Data catalog or MDM SaaS solution.

o Holding certification or demonstrable experience with Data Quality or Data Observability platforms.

o Applying Data modeling techniques and advanced SQL for complex data scenarios.

o Designing and implementing DEVOps and SecOps pipelines with robust CI/CD implementations.

o Developing and testing web applications that involve React or Angular frontends, along with REST or GraphQL APIs.

o Utilizing Agentic frameworks such as LangChain, LangGraph, and LangSmith to build intelligent data solutions.

o Writing very good programming skills in Python, Java, or other general purpose languages to deliver a wide variety of data services.

• Demonstrate a basic understanding or exposure to traditional analytics, including reporting and BI concepts, as a preferred trait.
• Show practical knowledge of modern capabilities in AI and agentic frameworks, along with emerging use cases in the data management ecosystem.
• Hold a Bachelor's degree in engineering, mathematics, or statistics as a foundational academic qualification.
• Have FMCG or CPG industry experience, which is highly desirable for context specific data challenges.

Practical notes

LENGTH: 700-900 words. No HTML, no markdown, no em dashes.