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ZS

Business Technology Solutions Consultant - Content Supply Chain

Posted An Hour Ago
Be an Early Applicant
Hybrid
2 Locations
155K-170K Annually
Senior level
Hybrid
2 Locations
155K-170K Annually
Senior level
The consultant will lead transformations in Content Supply Chain using AI, focusing on strategy development, operational models, and stakeholder engagement. Key tasks involve assessing current processes, designing modular systems, driving AI adoption, and enabling real-time personalization. The role requires strong consulting experience and a client-first mentality.
The summary above was generated by AI
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.
Business Technology Solutions Consultant - Content Supply Chain
We are seeking a consultant with expertise in Content Supply Chain (CSC) transformation and AI-driven innovation to help clients reimagine how content is planned, created, managed, and delivered at scale. This role sits at the intersection of business strategy, marketing operations, and applied AI, with a focus on driving efficiency, personalization, and speed-to-market.
You will work with senior stakeholders to design next-generation content ecosystems powered by modular content, automation, and Generative AI-transforming content from a manual, linear process into an intelligent, adaptive system.
What you'll do:
  • Define end-to-end content supply chain strategies incorporating AI, automation, and data-driven decisioning
  • Assess current-state content operations, including AI maturity, data readiness, and automation opportunities
  • Identify inefficiencies, bottlenecks, and high-value AI use cases across the content lifecycle
  • Develop future-state operating models integrating human + AI collaboration
  • Design and operationalize GenAI use cases (e.g., content generation, summarization, localization, tagging, personalization)
  • Drive adoption of AI-assisted content production and decisioning at scale
  • Architect modular and reusable content systems (e.g., atomized content, dynamic assembly)
  • Redesign workflows to integrate AI tools across planning, creation, review, and distribution
  • Enable real-time, omnichannel personalization using AI and data signals
  • Implement agile and test-and-learn content operating models
  • Advise on and help implement MarTech and AI-enabled ContentTech platforms (e.g., DAM, CMS, CDP, GenAI platforms)
  • Translate business needs into system architecture, including AI model integration and APIs
  • Define data strategies to support AI (metadata, taxonomy, training data, feedback loops)
  • Establish measurement frameworks (KPIs for AI impact, content performance, productivity gains)
  • Lead AI ideation workshops and CSC transformation programs with senior stakeholders
  • Build business cases quantifying ROI from AI-enabled content supply chains
  • Manage cross-functional teams spanning strategy, creative, data science, and engineering
  • Drive change management for AI adoption across marketing and content teams

What You'll Bring?
  • 5+ years of experience in consulting, digital transformation, marketing operations, or content transformation
  • Proven experience with Content Supply Chain design across planning, creation, review, and distribution
  • Hands-on experience with AI / Generative AI use cases for content (e.g., generation, localization, tagging, personalization)
  • Strong understanding of modular content models and reusable content frameworks
  • Experience working with MarTech / ContentTech platforms (CMS, DAM, CDP, GenAI tools)
  • Ability to translate business requirements into operating models and technology solutions
  • Experience leading client engagements and working with senior stakeholders
  • Strong analytical and communication skills, with a data-driven approach to decision-making
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

Additional Skills:
  • Experience with Adobe Experience Cloud (AEM/DAM), Veeva PromoMats, or similar content platforms
  • Background in Life Sciences or regulated industries with content review/MLR workflows
  • Exposure to prompt engineering, AI governance, or GenAI experimentation
  • Prior experience in consulting or digital agencies

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:
Candidates must possess or be able to obtain work authorization for their intended country of employment. 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
Salary: $155,000.00 - $169,500.00

Top Skills

Adobe Experience Cloud
AI
Cdp
Cms
Contenttech
Dam
Generative Ai
Martech

ZS New York, New York, USA Office

The ZS NY office is located in the heart of Manhattan in the Empire State Building. The ZS Princeton office is located at 210 Carnegie Center, Princeton, NJ.

ZS Princeton, New Jersey, USA Office

ZS Princeton Office

210 Carnegie Center, Suite 400, Princeton, NJ, United States, 08540

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