Leads enterprise data management, modernization, governance, and AI transformation initiatives. The role architects scalable cloud data platforms and AI-ready data products, including GenAI and agentic AI solutions using LLMs, RAG, vector databases, knowledge graphs, and semantic layers. Responsibilities include executive client engagement, consulting, solution architecture, program and team leadership, delivery governance, financial performance, pre-sales, account growth, and mentoring senior data and AI professionals.
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: 15–18 Years
We are seeking an experienced Associate Director – Data Services to lead enterprise Data Management, Data Modernization, GenAI and Agentic AI initiatives. The role combines strategic consulting, solution architecture, client engagement and delivery leadership to build scalable, AI-ready data ecosystems and deliver measurable business outcomes.
- Define and execute Data & AI strategy, roadmap and transformation programs for enterprise clients.
- Lead initiatives across Data Management, Data Governance, Data Quality, MDM, Metadata, Lineage, Data Security and Data Observability.
- Drive cloud data modernization, lakehouse, data platform and data product initiatives.
- Lead GenAI and Agentic AI use cases across data engineering, data quality, metadata, data discovery, pipeline automation and analytics.
- Architect AI-ready solutions using LLMs, RAG, Vector Databases, Knowledge Graphs, Ontologies, Semantic Layers and AI Agents.
- Define and implement AI-Native Data Product Factory and Data Product lifecycle frameworks.
- Engage with CIOs, CDOs, CTOs and business leaders to identify opportunities, shape solutions and drive transformation.
- Lead large, distributed teams and ensure delivery quality, governance, financial performance and client satisfaction.
- Support pre-sales, RFP/RFI responses, solutioning, account growth and development of Data & AI offerings/accelerators.
- Mentor senior architects and build organizational capabilities in Data, GenAI and Agentic AI.
- 15–18 years of experience in Data & Analytics / Data Management / Digital Transformation.
- Strong expertise in Data Architecture, Data Engineering, Data Governance, Data Quality and Cloud Data Platforms.
- Proven experience with platforms such as Snowflake, Databricks, Azure/AWS/GCP, Teradata or equivalent.
- Strong understanding of GenAI, LLMs, RAG, embeddings, Vector DBs, Knowledge Graphs, Ontologies and Agentic AI.
- Experience with Python, SQL, PySpark, APIs, ETL/ELT and modern data engineering practices.
- Strong client-facing consulting and executive stakeholder management experience.
- Demonstrated experience leading large Data & AI programs and teams.
- Strong business acumen with the ability to translate technology into measurable business value.
- Experience in High Tech/OEM, Manufacturing, Pharma, Financial Services, Energy/Oil & Gas or Retail.
- Exposure to technologies such as Alation, dbt, Kafka, Iceberg, Neo4j/Stardog, LangChain/LangGraph, Azure OpenAI or similar GenAI platforms.
- Relevant Cloud, Data, AI or Architecture certifications.
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