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

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)

1. 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

1. 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

1. 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

1. 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

1. 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.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:

An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

www.zs.com

• Bachelor's degree in Business or Life Sciences and 10+ years in business technology consulting, data engineering, or platform architecture
• Expertise in Azure (ADF, ADLS, Azure OpenAI), Databricks (Spark, Delta Lake, Unity Catalog), and data engineering frameworks (Python, SQL, PySpark)
• Proven client relationship management, delivery leadership, and experience with Agentic AI/GenAI ecosystems and enterprise-scale data & AI solutions