Business Technology Solutions Manager

ZS is a place where passion changes lives. As 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 all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide.

ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

ZS’s Digital and Technology group focuses on driving end to end Digital Transformation that includes Digital Strategy, Human centered Design, exploiting emerging technologies, and purposeful change management to improve customer and company results. The types of solutions include Digital Strategy and Advisory services, end to end Transformation Management, Enterprise Data, Analytics and AI, Intelligent Automation, reimagining business processes with digital first lens and building Digital Products, Solutions and Digital Platforms leveraging Big Data Technologies, AI/ML and Advance Analytics, Digital Platform configuration and integrations.

We provide a complete spectrum of technology solutions, from strategy and roadmap definition to full scale implementation and on‑going operations. Our team possesses deep expertise in leading digital transformation, enterprise data analytics and AI, Data science and advanced analytics and building end to end digital.

What You’ll Do

• 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)

• 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

• 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

• 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

• 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

• 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
  • Da…