What You'll Do 1. Client Engagement & Relationship Management- Serve as the primary point of contact for client stakeholders across business and technology teams
- Build trusted advisor relationships with senior stakeholders (Director-VP level)
- Lead client discussions, workshops, and executive presentations with clear articulation of technical solutions
- Translate business priorities into scalable technology solutions and roadmaps
- Proactively identify opportunities for value creation, efficiency gains, and innovation (including AI-led transformation)
2. Communication & Stakeholder Alignment- Drive structured, clear, and executive-ready communication across all levels
- Facilitate alignment between business, data, and engineering teams (onshore/offshore)
- Own status reporting, risk communication, and escalation management
- Simplify complex technical concepts into business-impact narratives
3. Technical Leadership - Azure & Databricks- Lead architecture and delivery for modern data platforms on Azure, including:
- Azure Data Lake, Data Factory, Azure OpenAI
- Design and implement lakehouse architectures using Databricks
- Oversee development of:
- Scalable data pipelines (ETL/ELT, Spark, Delta Lake)
- Data products and enterprise data models
- Ensure best practices in:
- Data governance, quality, observability, and performance optimization
4. Agentic AI & AI-led Transformation- Lead design and implementation of Agentic AI solutions leveraging enterprise data platforms
- Work with frameworks involving:
- Multi-agent orchestration, knowledge layers, and vector-based retrieval mechanisms
- Databricks Mosaic AI / Genie spaces for AI-driven analytics and automation
- Identify and execute AI use cases such as:
- Intelligent data querying
- Process automation
- Decision support systems
- Partner with clients to build AI strategy, governance, and adoption roadmap
5. Delivery Leadership & Team Management- Lead end-to-end project delivery (solutioning through production)
- Manage cross-functional teams (data engineers, architects, analysts)
- Drive agile delivery, sprint planning, and execution tracking
- Mentor team members and promote best practices in engineering and consulting skills
6. Innovation & Thought Leadership- Contribute to AI-led delivery accelerators and reusable frameworks
- Support proposal development and solutioning for strategic client opportunities
- Stay at the forefront of cloud, data, and AI trends, especially in:
- Azure ecosystem
- Databricks platform
- Agentic AI capabilities
What You'll Bring - Bachelor's degree with an emphasis in Business or Life Sciences.
- 10+ years of experience in business technology consulting, data engineering, or platform architecture
- Strong expertise in:
- Azure (ADF, ADLS, Azure OpenAI)
- Databricks (Spark, Delta Lake, Unity Catalog)
- Experience with:
- Data engineering frameworks (Python, SQL, PySpark)
- Data architecture (lakehouse, medallion architectures)
- Exposure to Agentic AI / GenAI ecosystems, including:
- LLM orchestration frameworks
- Vector databases and retrieval systems
- Multi-agent systems / AI copilots
- Proven experience managing client relationships and leading delivery teamsHands-on experience delivering enterprise-scale data & AI solutions
- Ability to work with cross functional teams, both in US and India
- Fluency in English is required
#LI-PS1
How you'll grow:- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
