Data & AI Delivery Leader

Jobtailor

Bengaluru

On-site

INR 350,000 - 550,000

Full time

14 days+

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Job summary

Jobtailor seeks an senior Solution Architect to own end-to-end Data and AI architecture, aligning with enterprise strategy and platform standards. The role encompasses scalable patterns across data ingestion, transformation, semantic layers, analytics, AI/ML enablement, and generative AI components.

You will translate business needs into architecture blueprints, guide implementation, and maintain reference architectures, guardrails, and reusable patterns while collaborating with product,

Qualifications

  • 10+ years in solution/ data architecture or related tech leadership roles.
  • Led end-to-end design and delivery for complex data, analytics, and AI initiatives in enterprise environments.
  • Deep understanding of cloud data platforms (GCP/BigQuery or equivalent).
  • Strong data modelling, semantic design, and governed data foundations.
  • Experience shaping delivery scope, sequencing, dependencies, and operating models.

Responsibilities

  • Own end-to-end architecture for Data and AI solutions aligned with strategy.
  • Define scalable, secure architecture patterns across ingestion, transformation, modelling, and analytics.
  • Translate business needs into architecture blueprints and implementation direction.
  • Lead solution delivery with cross-functional teams from concept to implementation.
  • Establish reference architectures and reusable patterns.

Skills

Solution Architecture
Data Architecture
AI Solution Design
Cloud Data Platforms
Data Governance

Tools

GCP
BigQuery
Data Lake
Data Warehouse
AI/ML Tools

Job description

  • Own end-to-end architecture for Data and AI solutions, providing hands-on architecture leadership aligned with enterprise strategy, business goals, and platform standards.
  • Define scalable, secure, and reusable architecture patterns across data ingestion, transformation, modelling, semantic layers, analytics consumption, AI/ML enablement, and generative AI solution components.
  • Translate business capability needs into architecture blueprints, technical decisions, and implementation direction.
  • Establish and maintain reference architectures, design guardrails, and reusable solution patterns.
  • Serve as the delivery leader for solution execution, partnering across product, engineering, governance, security, and business teams from concept through implementation while maintaining reasonable direct involvement in solution shaping and critical execution decisions.
  • Shape new initiatives by defining scope, delivery approach, sequencing, dependencies, risks, operating assumptions, and high-level estimates.
  • Define architecture patterns across cloud-native data platforms, including data lake, warehouse, semantic, and consumption layers.
  • 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.
  • Support scalable adoption of AI capabilities by creating playbooks, reusable assets, implementation patterns, and transition approaches for long-term support.
  • Ensure enterprise standards, best practices, and governance policies are applied consistently across Data and AI solutions.

Requirements

  • 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.
  • Demonstrated 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.
  • Proven ability to connect strategy, architecture, and delivery execution in a domain-oriented operating model.
  • Strong understanding of data governance, metadata, lineage, quality, security, responsible AI, and enterprise standards.
  • Experience shaping delivery scope, sequencing, dependencies, implementation approaches, and operating models for multi-team initiatives.
  • Strong communication, leadership, stakeholder management, and decision-making skills.
  • Ability to operate effectively in ambiguity and lead through change in a transforming enterprise environment.

Core Competencies

Demonstrates extensive expertise in solution architecture and data architecture, with a strong focus on AI solution design and delivery. Capable of leading cross-functional teams and ensuring adherence to enterprise standards and best practices across Data and AI initiatives.

Highest-signal resume keywords

  • Solution Architecture
  • Data Architecture
  • AI Solution Design
  • Cloud Data Platforms
  • Data Governance

ATS Optimization Keywords

Hard Skills

  • Data Modelling
  • Analytics Delivery
  • Generative AI
  • Predictive Analytics
  • Enterprise AI Assistants
  • Data Ingestion
  • Data Transformation
  • Semantic Design
  • Implementation Patterns
  • Architecture Patterns

Soft Skills

  • Leadership
  • Stakeholder Management
  • Communication
  • Decision-Making
  • Adaptability

Industry Keywords

  • Enterprise Data Platforms
  • Analytics
  • Data Governance
  • Responsible AI
  • Metadata Management

Tools & Technologies

  • GCP
  • BigQuery
  • Data Lake
  • Data Warehouse
  • AI/ML Tools
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