Business Technology Solutions Manager

About the role

ZS is a management consulting and technology firm focused on improving life and how we live it. We transform ideas into impact by bringing together data, science, technology, and human ingenuity to deliver better outcomes for patients, caregivers, and consumers worldwide. The Digital and Technology group drives end-to-end digital transformation, including Digital Strategy, Human-Centered Design, emerging technologies, and change management to improve customer and company results.

The types of solutions we deliver include:

• Digital Strategy and Advisory services
• End-to-end Transformation Management
• Enterprise Data, Analytics, and AI
• Intelligent Automation
• Reimagining business processes with a digital-first lens
• Building Digital Products, Solutions, and Platforms using Big Data Technologies, AI/ML, and Advanced Analytics
• Digital Platform configuration and integrations

We provide a complete spectrum of technology solutions, from strategy and roadmap definition to full-scale implementation and ongoing operations.

Responsibilities

• 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)
• 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
• Technical Leadership – Azure & Databricks
  • Lead architecture and delivery for modern data platforms on Azure, including Azure Data Lake, Data Factory, and Azure OpenAI
  • Design and implement lakehouse architectures using Databricks
  • Oversee development of scalable data pipelines (ETL/ELT, Spark, Delta Lake) and data products
  • Ensure best practices in data governance, quality, observability, and performance optimization
• 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
  • Utilize Databricks Mosaic AI / Genie spaces for AI-driven analytics and automation
  • Identify and execute AI use cases such as intelligent data querying, process automation, and decision support systems
  • Partner with clients to build AI strategy, governance, and adoption roadmap
• 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
• 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 the Azure ecosystem, Databricks platform, and Agentic AI capabilities

Requirements

• 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 teams
• Hands-on experience delivering enterprise-scale data & AI solutions
• Ability to work with cross-functional teams, both in the US and India
• Fluency in English is required

Benefits

• Comprehensive total rewards package supporting health, well-being, financial future, time away, and professional development
• Robust skills-building programs and milestone training aligned to career progression
• Internal mobility paths for growth via s-curves, individual contribution, and role expansions
• Hybrid working model combining work from home and on-site presence at clients/ZS offices
• Travel opportunities to strengthen client relationships and gain diverse experiences

For details on total rewards in the United States, visit ZS US office locations.