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.
Experience: 12–15
Years
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.
- 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.
- 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.
- 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.
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.
