Senior Delivery & Data Transformation Leader

Overview

Hybrid
Depends on Experience
Full Time
Accepts corp to corp applications

Skills

Data Transformation Leadership
Data
BI
Cloud
AI/ML literacy
SAFe/Agile delivery frameworks
large
complex
multi-tower programs

Job Details

Role Overview
We are seeking an accomplished Senior Delivery & Data Transformation Leader to drive large-scale delivery and data transformation programs for a Fortune 20 Telecommunications client. This role requires deep experience managing global delivery models (onsite, offshore, nearshore), handling diverse engagement models (T&M, SOW, Managed Services), and aligning delivery structures with client needs.
The ideal candidate will have a strong foundation in Data, BI, and Cloud, with strong AI/ML literacy, combined with expertise in SAFe/Agile delivery frameworks, client stakeholder management, and account growth. This role demands a unique blend of strategic delivery leadership and technical credibility, with the ability to shape opportunities, lead transformation, and ensure measurable client outcomes.
Key Responsibilities Delivery & Program Leadership

  • Manage large, complex, multi-tower programs encompassing Data, BI, and Digital Transformation initiatives.
  • Lead the design, development, and implementation of Data Engineering & Analytics solutions (Teradata, Google Cloud Platform, Snowflake, Azure, Qlik, Tableau, etc.).
  • Drive SAFe/Agile-based delivery frameworks, ensuring alignment with enterprise processes, KPIs, and SLAs.
  • Realign delivery structures and optimize processes for efficiency, scalability, and innovation.

Client Engagement & Stakeholder Management

  • Serve as the primary delivery leader and trusted advisor to senior client executives.
  • Engage in strategic governance cadences (WSR, MSR, QBR, steering committees) with operational and executive stakeholders.
  • Proactively identify issues/risks and develop mitigation/resolution strategies.
  • Build and maintain positive relationships with all stakeholders, ensuring proactive responses to opportunities and challenges.

Account Growth & Transformation

  • Partner with Sales and Account teams to identify account mining and expansion opportunities.
  • Shape and propose Data and Cloud-based solutions that drive measurable business value.
  • Partner with AI/ML Practices and CoEs to drive emerging tech innovation based opportunities for Customer stakeholders.
  • Contribute to the creation of SOWs, proposals, estimations, and solution approaches for new opportunities.
  • Bridge with the Practice teams to build reusable assets such as case studies, accelerators, and PoCs to strengthen organization positioning.

Technical Leadership & Innovation

  • Provide technical direction and leadership for end-to-end data solution lifecycle management.
  • Translate complex business issues into scalable Data, Analytics, and potentially AI/ML-driven solutions.
  • Ensure compliance with service performance metrics, while fostering a culture of automation, efficiency, and innovation.
  • Continuously evaluate delivery processes, introducing improvements and best practices.

People & Practice Development

  • Lead, mentor, and coach global delivery teams across onsite, offshore, and nearshore models.
  • Collaborate with internal functions (Recruiting, HR, Operations) to support hiring, onboarding, and talent alignment.
  • Contribute to building the Data & AI/ML Practice with thought leadership, reusable frameworks, and ecosystem partnerships.

Qualifications & Experience

  • 18 20+ years of IT services experience, with significant delivery leadership in Data and Analytics programs.
  • Proven ability to manage large global delivery engagements (1,000+ FTEs preferred) with multiple engagement models (T&M, SOW, Managed Services).
  • Strong expertise in Data Warehousing, BI & Analytics, Cloud Data platforms (Google Cloud Platform, Azure, Snowflake, Teradata), and visualization tools (Qlik, Tableau, Power BI).
  • Experience in Cloud Data migration, Data Management (Quality, MDM, Governance, Metadata), and modern data architectures.
  • Exposure to AI/ML and Generative AI projects, with the ability to guide teams and client stakeholders on adoption.
  • Deep understanding of delivery frameworks (SAFe, Agile, SDLC), governance, and SLA/KPI-based delivery.
  • Strong stakeholder management, executive communication, and team-building skills.
  • Telecom domain experience is highly preferred.

Preferred Skills

  • Executive-level presence with the ability to influence CXO-level stakeholders.
  • Ability to balance delivery rigor with innovation and growth enablement.
  • Prior experience in Fortune 20-scale accounts and large transformation programs.
  • MBA or advanced degree a plus.

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