What you will do

- Own end-to-end architecture for Data and AI solutions aligned to enterprise strategy, business goals, and platform standards, while remaining hands-on in key solution areas.
- Define scalable, secure, and reusable architecture patterns across data ingestion, transformation, modelling, semantic layers, analytics, AI/ML, and generative AI components.
- Translate business capability needs into architecture blueprints, technical decisions, and implementation direction.
- Lead delivery execution across product, engineering, governance, security, and business teams from concept through implementation, while maintaining a reasonable percentage of direct involvement in solution shaping and critical execution decisions.
- Shape new initiatives by defining scope, sequencing, dependencies, risks, assumptions, and high-level estimates.
- Drive architecture and delivery decisions across multiple concurrent efforts while balancing speed, quality, risk, sustainability, and value realization.
- Guide data architecture across cloud-native platforms including lake, warehouse, semantic, and consumption layers, and ensure governed, reusable data models aligned to business definitions.
- Lead design and delivery of enterprise AI solutions including generative AI, retrieval-augmented generation, enterprise AI assistants, knowledge retrieval, intelligent workflow automation, and predictive analytics use cases.
- Establish practical delivery and evaluation patterns for AI solutions from experimentation through production rollout, monitoring, and continuous improvement.
- Ensure solutions meet enterprise standards for governance, security, privacy, responsible AI,



operational readiness, and supportability.
- Act as a key interface across business stakeholders, product leaders, governance leaders, engineering teams, and enterprise technology leadership, while actively building team capability through mentoring, coaching, and practical knowledge transfer.

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What you will bring:

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Artificial Intelligence, or a related technical field.
- 10+ years of experience in solution architecture, data architecture, enterprise data platforms, analytics delivery, AI solution design, or related technology leadership roles.
- Strong experience leading end-to-end solution design and delivery for complex data, analytics, and AI initiatives in enterprise environments.
- Deep understanding of cloud data platforms, preferably GCP / BigQuery or equivalent enterprise cloud ecosystems.
- Strong expertise in data architecture, data modelling, semantic design, analytical solution patterns, and governed data foundations.
- Practical experience designing or leading enterprise AI solutions, including generative AI, knowledge retrieval, AI assistants, or ML-enabled decision-support capabilities.




- Ability to balance enterprise data platform thinking with AI solution delivery and business adoption.
- Experience guiding cross-functional teams across architecture, engineering, analytics, governance, security, and business stakeholders.
- Strong understanding of data governance, metadata, lineage, quality, security, responsible AI, and enterprise standards.
- Strong communication, leadership, stakeholder management, and decision-making skills, with the ability to operate effectively in ambiguity and lead through change.

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Nice to Have

- Experience supporting enterprise AI assistants, retrieval-augmented generation, knowledge retrieval, or similar Data and AI solution patterns.
- Experience defining AI governance guardrails, model risk controls, or responsible AI practices in an enterprise setting.
- Familiarity with metadata, data catalog, governance, vector search, or knowledge platform capabilities.
- Experience with Git-based delivery practices, DevOps, CI/CD, and modern engineering standards for data and AI platforms.
- Exposure to domain-oriented data product principles and federated delivery models.
- Experience helping scale AI adoption through reusable patterns, playbooks, delivery frameworks, or platform enablement.

We offer competitive compensation and comprehensive perks and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

📌 Data & AI Delivery Leader (India)
🏢 Sourceo
📍 India