Manager, AI & Data Strategy
Align Knowledge Centre
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Job summary
Align Knowledge Centre is seeking a Manager, AI & Data Strategy to lead the design, prototyping, and transformation of AI-powered solutions for Marketing Services. The role combines AI/LLM development, workflow automation, product ownership, and enterprise systems integration to translate complex business problems into scalable AI-enabled solutions.
The ideal candidate will drive rapid AI prototyping, automate business workflows, and collaborate with business and technology stakeholders to
Qualifications
- 5+ years of hands-on experience in AI, data strategy, or related domains.
- Experience delivering GenAI/LLM solutions and enterprise integrations.
- Ability to translate business problems into AI-enabled solutions.
Responsibilities
- Design and prototype AI agents, LLM-powered solutions, and agentic workflows for enterprise use cases.
- Identify and design AI-enabled automations across business processes and systems.
- Own transformation workstreams, write user stories, and manage roadmaps.
- Support Adobe Workfront, AEM, Salesforce migrations and integrations.
Skills
Tools
Job description
Job Title: Manager, AI & Data Strategy
Experience: 5+ Years
Employment: Contract - 12 months (extendable)
Location: Gurgaon, India
Work Mode: Hybrid
We are looking for a Manager, AI & Data Strategy to lead the design, prototyping, and transformation of AI-powered solutions for Marketing Services operations. The role combines AI/LLM/Agent Development, Workflow Automation, Product Ownership, Business Transformation, and Enterprise Systems Integration.
The ideal candidate will have hands‑on experience building GenAI/LLM solutions and AI agents, rapidly prototyping AI use cases, automating business workflows, and integrating AI solutions with enterprise platforms. The candidate must also be comfortable working with business and technology stakeholders to translate complex business problems into scalable AI‑enabled solutions.
- Design and build AI agents, LLM‑powered solutions, and agentic workflows for enterprise business use cases.
- Develop rapid AI prototypes/POCs and iterate based on stakeholder feedback.
- Evaluate AI solutions for feasibility, scalability, usability, and business impact.
- Work with AI/LLM technologies, orchestration frameworks, APIs, and enterprise systems.
- Translate successful prototypes toward production‑scale implementation.
- Identify manual and inefficient business processes suitable for AI‑powered automation.
- Design automated workflows, routing, approvals, intake, and business process solutions.
- Develop or support integrations using APIs, connectors, webhooks, and enterprise integration patterns.
- Assess upstream/downstream dependencies and ensure solutions are technically feasible.
- Integrate AI capabilities with enterprise platforms and business applications.
- Act as Product Owner for defined transformation workstreams.
- Gather, document, validate, and prioritize business requirements.
- Translate business needs into user stories, workflows, acceptance criteria, and solution requirements.
- Build and manage product backlogs, priorities, and roadmap activities.
- Analyze current‑state processes and design simplified, scalable future‑state workflows.
- Identify opportunities for standardization, automation, and operational efficiency.
- Support transformation and migration initiatives involving Adobe Workfront, AEM, Salesforce, and related enterprise systems.
- Partner with Adobe consultants, implementation partners, technology teams, and business stakeholders.
- Help define future‑state operating models and workflow blueprints.
- Support technical readiness, integration validation, UAT, rollout, adoption, and post‑launch improvements.
- Lead workshops, discovery sessions, design reviews, demonstrations, and validation meetings.
- Coordinate activities across business, product, technology, AI, integration, migration, and change‑management teams.
- Manage dependencies, risks, decisions, actions, milestones, and delivery readiness.
- Communicate progress, risks, decisions, and recommendations to senior stakeholders.
- Drive solutions from discovery prototype validation implementation.
Candidates MUST have demonstrable experience in:
- Hands‑on experience with LLM‑based solutions
- AI agents / agentic workflows
- GenAI solution development
- Prompting/orchestration/tool or function calling or similar capabilities
- Business/workflow automation
- API‑based integrations
- Enterprise system integration
- Automation/orchestration of business processes
- Building AI POCs/prototypes
- Rapid experimentation and iteration
- Taking business ideas to working AI solutions
- Product ownership, business transformation, process transformation, or equivalent
- Requirements gathering
- User stories and acceptance criteria
- Process/workflow optimization
- Stakeholder management
- Adobe Workfront
- Adobe Experience Manager (AEM)
- Salesforce integrations
- Marketing Operations / Campaign Operations / Creative Operations
- MarTech transformation
- Enterprise SaaS implementations
- Agile delivery
- Process mapping
- Operating model design
- RACI/governance
- UAT and change management
- Python and/or AI development frameworks
- LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar
- RAG / vector databases / embeddings
- Azure OpenAI, OpenAI, Gemini, Claude, Llama or equivalent LLM platforms
No hands‑on GenAI/LLM experience
Candidates with only theoretical knowledge, courses, certifications, or AI awareness are not suitable.
No hands‑on AI Agent / Agentic AI experience
Candidates who have only used ChatGPT, Copilot, Gemini, etc. for productivity without building AI solutions/agents are not suitable.
Pure Data Scientist / ML profile without GenAI/LLM/Agent experience
Traditional ML, statistical modelling, predictive analytics, or NLP experience alone does not meet the requirement.
Traditional Product Owner / Scrum Master without hands‑on AI experience
Agile, Jira, backlog management, and user stories alone are insufficient.
Traditional Program/Project Manager without AI solution development experience
Project coordination without hands‑on AI/automation exposure will not be considered.
Adobe‑only profiles
Workfront/AEM migration, configuration, or administration experience without meaningful GenAI/LLM/AI agent experience will not qualify.
Strategy‑only AI profiles
Candidates whose experience is limited to AI strategy, presentations, roadmaps, consulting, or advisory work without hands‑on AI prototyping/development are not suitable.
Automation‑only profiles without GenAI/LLM experience
RPA/UiPath/Power Automate experience alone does not meet the requirement.
Candidates without enterprise integration experience
Candidates should be able to demonstrate experience working with APIs, integrations, connectors, or enterprise systems.
Candidates unable to demonstrate an actual AI project
The candidate should be able to explain at least one AI/LLM/agent prototype or implementation, including the business problem, solution, technology used, and their personal contribution.
We are looking for someone who is:
- Strong in problem solving and innovation
- Comfortable experimenting with emerging AI technologies
- Able to move rapidly from idea to prototype
- Strong at communicating with both technical and business stakeholders
- Comfortable working across global, cross‑functional teams
- Adaptable and continuously learning
- Capable of balancing hands‑on AI execution with product/business leadership
- Opportunity to build and test cutting‑edge AI agents and automations
- Work on an enterprise‑scale Agentic AI transformation
- High visibility across business and technology teams
- Opportunity to combine AI engineering, product ownership, automation, and business transformation
- Fast‑paced environment with significant ownership and autonomy
GenAI | Generative AI | LLM | AI Agents | Agentic AI | AI Automation | AI Engineering | LLM Applications | Workflow Automation | AI Prototyping | API Integration | Systems Integration | AI Product Management | AI Product Owner | Business Transformation | Process Transformation | Product Ownership | Adobe Workfront | AEM | Salesforce | RAG | LangChain | LangGraph | AI Orchestration
Only candidates with genuine hands‑on AI/LLM/Agent development + automation/integration experience should apply.
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