Business Technology Solutions Manager

Zs Associates; South San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Total rewards package

Career progression and mobility

Job summary

ZS Associates in the United States seeks a senior data & AI transformation leader to architect and deliver Azure and Databricks powered data platforms for client engagements. You will guide end‑to‑end data lakehouse solutions, ETL/ELT pipelines and enterprise data models across onshore/offshore teams.

You’ll mentor cross‑functional teams, drive agile delivery, and shape AI strategy, governance, and adoption roadmaps while traveling as needed to client sites. Hybrid work schedule supported.

Qualifications

• Bachelor's degree with 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) and Databricks (Spark, Delta Lake, Unity Catalog).
• Experience with Data engineering frameworks (Python, SQL, PySpark); data architecture and lakehouse concepts.
• Exposure to Agentic AI / GenAI ecosystems and client-facing delivery leadership.

Responsibilities

• Lead client engagements and relationship management with senior stakeholders.
• Drive structured, executive-ready communication across business, data, and engineering teams.
• Architect and deliver modern data platforms on Azure and Databricks (lakehouse, pipelines, data models).
• Lead design and implementation of Agentic AI solutions leveraging enterprise data platforms.
• Oversee end-to-end project delivery and cross-functional team management.
• Stay at the forefront of cloud, data, and AI trends, including Azure and Databricks ecosystems.

Skills

Azure (ADF/ADLS/Azure OpenAI)

Databricks (Spark/Delta Lake/Unity)

Python/SQL/PySpark

Data architecture (lakehouse/medallion

Agentic AI / GenAI ecosystems

Cross-functional leadership

English fluency

Education

Bachelor's degree in Business or Life Sciences

Job description

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)

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.

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.

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.