Data & AI Delivery Leader

Baby Explorer

Data & AI Delivery Leader at Trane Technologies overseeing architecture and delivery for enterprise Data and AI initiatives. Balancing technical execution with business needs to drive projects.

Posted 7/29/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 ArchitectureData ArchitectureAI Solution DesignCloud Data PlatformsData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModellingAnalytics DeliveryGenerative AIPredictive AnalyticsEnterprise AI AssistantsData IngestionData TransformationSemantic DesignImplementation PatternsArchitecture Patterns

Soft Skills

LeadershipStakeholder ManagementCommunicationDecision-MakingAdaptability

Tools & Technologies

GCPBigQueryData LakeData WarehouseAI/ML Tools

Industry Keywords

Enterprise Data PlatformsAnalyticsData GovernanceResponsible AIMetadata Management

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities