Sr. Manager – Data Services

About the Job About Aligned Automation At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future. Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace. Sr. Manager – Data Services Experience: 12–15 Years Role Overview We are looking for a Senior Solutions Manager – Data Services with 12–15 years of experience in Data Management, Data Engineering, Cloud Data Platforms, GenAI and Agentic AI. The role will lead client consulting, solution architecture, pre-sales and delivery of enterprise-scale Data & AI transformation initiatives. Key Responsibilities Lead Data & AI strategy, consulting and solutioning for enterprise customers. Design end-to-end solutions across Data Management, Data Modernization, Data Governance, Data Quality, Data Products and Analytics. Develop GenAI and Agentic AI solutions using LLMs, RAG, AI Agents, vector databases, knowledge graphs, semantic layers and MCP. Define AI-ready data architectures integrating structured, semi-structured and unstructured data. Lead development of RFP/RFI responses, proposals, SOWs, solution estimates, architecture and transformation roadmaps. Conduct client workshops and present solutions to senior business and technology stakeholders. Identify and develop new Data & AI opportunities, accelerators and reusable IP. Provide technical leadership across implementation teams and ensure solution quality, scalability and business value. Stay current with emerging technologies across GenAI, Agentic AI, Data Products, Ontology, Knowledge Graphs and AI Governance. Required Skills Data & Cloud: Data Architecture, Data Governance, Data Quality, MDM, Metadata, Data Catalog, Data Lineage, Data Products, Data Mesh/Fabric; Snowflake, Databricks, Azure/AWS/GCP, Spark, Kafka, SQL, Python. GenAI & Agentic AI: LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases, AI Agents, Multi-Agent Architecture, LangChain/LangGraph, MCP and AI Governance. Semantic & Knowledge: Semantic Models, Ontology, Knowledge Graphs, RDF/Property Graphs, Neo4j/Stardog, Semantic Layers. Consulting & Leadership: Solution Architecture, Pre-Sales, RFP/RFI, Client Management, Executive Presentations, Program Leadership and Business Case/ROI Development. Qualifications Bachelor's/Master's degree in Computer Science, IT, Engineering, Data Science or related discipline. 12–15 years of experience in Data & Analytics / Data Management / Data Engineering / Digital Transformation. Proven experience in client-facing consulting and enterprise solution architecture. Strong experience in GenAI/Agentic AI initiatives and Data & AI transformation. Cloud/Data/AI certifications are an advantage. Success Measures Solution Win Rate | Data & AI Revenue/Pipeline | Customer Satisfaction | Successful POC-to-Production Conversion | Reusable IP/Accelerators | Business Value & ROI Ideal Profile: A senior Data & AI consulting leader who can translate complex business problems into scalable data, GenAI and Agentic AI solutions and take them from strategy → architecture → pre-sales → implementation → value realization.