Architect Project Manager Data & AI

Experience:

Location: Bangalore

Employment Type:

Job Summary

Data & AI

Key Responsibilities

Project Leadership & Delivery

• Lead and orchestrate 

  end-to-end Data & AI projects

  , ensuring delivery excellence, quality, and on-time execution.
• Drive large, complex, multi-domain initiatives involving modern data platforms, analytics, MLOps, AI/ML solutions, cloud-native architectures, and data transformation programs.
• Strategize, plan, and execute project roadmaps across 

  Waterfall and Agile

   methodologies.
• Ensure project governance, risk mitigation, compliance, and documentation are adhered to at all stages.
• Own project success metrics, continuously optimizing processes to improve delivery outcomes.

Consulting & Customer Engagement

• Work directly with 

  external enterprise customers

  , leading conversations around architecture, solution design, timelines, delivery models, and value realization.
• Drive complex customer engagements, ensuring satisfaction through transparency, proactive communication, and value-driven delivery.
• Demonstrate the ability to clearly articulate and defend architectural decisions and critical projects handled in the past.
• Conduct scenario-based discussions and guide customers through strategic decision-making.

Technical & Domain Expertise

• Serve as the senior SME for Data & AI initiatives across the GCC.
• Guide teams on modern Data & AI technologies such as:
• Data Lakes, Data Warehouses, ETL/ELT pipelines
• Big data frameworks (Spark, Databricks, Hadoop)
• Cloud data platforms (Azure, AWS, GCP)
• AI/ML workflow orchestration, model deployment & MLOps
• Analytics, BI platforms, data governance, and security best practices
• Provide technical leadership and support teams across diverse GCC domains.

Stakeholder & Leadership Management

• Manage and influence senior stakeholders across technology, business, operations, and customer leadership teams.
• Present project health, risks, decisions, and outcomes to high-level leadership with clarity and confidence.
• Drive cross-functional coordination across engineering, architecture, operations, support, and customer teams.

Required Skills & Experience

• 10-15+ years

   of experience in IT, with at least 

  68 years

   in Project/Program Management.
• Strong background in 

  Data & AI

  , Data Engineering, Data Platforms, AI/ML, or related areas.
• Proven experience delivering 

  consulting-led external customer projects

   in enterprise-scale environments.
• Demonstrated success leading 

  large and complex deals/projects

   with measurable impact.
• Hands-on experience managing projects using both 

  Agile and Waterfall

   frameworks.
• Strong problem-solving skills with the ability to handle multi-layered scenarios and real-time challenges.
• Excellent communication, leadership, storytelling, and stakeholder management skills.
• Ability to work across multiple domains when required.

• PMP Certification

   is mandatory.
• Flexibility to work in 

  rotational shifts

  .

Key Competencies

• Ownership mindset with a strong customer-centric approach.
• Ability to operate independently and drive clarity in ambiguous environments.
• Strong business acumen combined with Data & AI technical understanding.
• Expertise in managing multi-domain, multi-vendor project environments.
• Ability to handle and articulate scenario-based situations confidently.

Preferred Qualifications

• Experience in global capability centers (GCC) or large IT consulting organizations.
• Certifications in cloud platforms (Azure, AWS, GCP) or Data/AI technologies.
• Exposure to MLOps, GenAI, and advanced analytics platforms.