Program Delivery Director - Enterprise Data...

Cognizant Technology Solutions Corporation
Charlotte, NC, United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$190,000.0 - $205,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Apache HTTP Server Cloud Engineering Data Architecture Information Engineering Data Governance Data Integration Data Migration Dataspaces Data Warehousing DevOps Meta-Data Management
+8 more
Performance Tuning Migration Manager Enterprise Data Management Data Lakes Collibra AWS Glue Data Management Data Lakehouse

Job description

We are seeking a Program Delivery Director to lead the modernization of a large-scale, enterprise data ecosystem-transitioning complex legacy platforms into a scalable, cloud-native architecture on AWS . This role is ideal for a seasoned delivery leader based in the Charlotte market who has successfully guided organizations through high-stakes AWS migrations and thrives in executive-facing, outcomes-driven environments.

You will operate at the intersection of strategy, technology, and business , shaping the migration roadmap, building elite delivery teams, and partnering closely with C-suite and VP stakeholders to ensure measurable business value, operational continuity, and long-term data platform modernization.

What You’ll Lead

Enterprise Migration Strategy & Execution

  • Own the end-to-end strategy for migrating legacy data environments to AWS, leveraging services such as AWS Glue, Redshift, Aurora, EMR , and related analytics and data integration platforms.

  • Drive phased, low-risk migration approaches that balance speed, quality, and business continuity.

Executive Delivery Leadership

  • Lead large, multi-stream programs with accountability for delivery outcomes, timelines, risk mitigation, and stakeholder confidence.

  • Serve as a trusted advisor to CXO and VP-level leaders , translating technical progress into business impact, KPIs, and value realization.

High-Performance Team Building

  • Build, mentor, and scale cross-functional teams spanning data engineering, architecture, DevOps, and governance.

  • Establish a strong delivery culture rooted in accountability, transparency, and modern engineering best practices.

Modern Data Architecture Oversight

  • Provide architectural leadership across cloud-native data platforms , including data lakes, warehouses, and lakehouse designs.

  • Guide implementation using AWS-native services such as Kinesis, Lambda, Lake Formation , and modern analytics pipelines.

Data Lakehouse & Open Table Formats

  • Champion next-generation Data Lakehouse architectures , including transactional and scalable data platforms built on open table formats such as Apache Iceberg .

  • Ensure performance optimization, schema evolution, and multi-engine analytics enablement.

Governance, Lineage & Compliance

  • Establish enterprise-grade data governance, lineage, and metadata management , leveraging platforms such as Collibra .

  • Ensure visibility, trust, and regulatory compliance across critical enterprise data assets.

Client & Business Partnership

  • Partner closely with business leaders across technology, marketing, sales, and operations to align data migration initiatives with broader transformation goals.

  • Navigate ambiguity, refine evolving requirements, and design solutions that scale with the business.

Security & DevOps (Preferred)

  • Provide oversight on AWS security fundamentals , CI/CD pipelines, and DevOps practices to support secure, automated, and resilient delivery models.

Requirements

  • 18+ years of experience in Data Engineering and Program Delivery, with 8+ years leading AWS-based cloud transformations .

  • Proven success migrating legacy data ecosystems to AWS at enterprise scale.

  • Deep expertise in data architecture including Data Warehousing, Data Lakes, Lakehouse models, Data Mesh concepts, and Data-as-a-Product thinking.

  • Strong hands-on and strategic knowledge of Data Lakehouse principles and open table formats such as Apache Iceberg .

  • Demonstrated leadership in data governance, lineage, and metadata management , including enterprise use of tools like Collibra .

  • Executive-level communication skills with the ability to clearly articulate delivery progress, risk, and outcomes.

  • A track record of building credibility with senior stakeholders and steering complex programs through change.

Benefits & conditions

The annual base salary for this position is between $190,000 - $205,000 depending on the experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance

  • Paid holidays plus Paid Time Off

  • 401(k) plan and contributions

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

55 sec

Validating data processing architectures via containerized events

Modood Alvi · WWC 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

3:46 min

Navigating a career in cloud transformation consulting

Piet Van Dongen · LIVE

2:30 min

Establishing shared definitions for devops and cloud architectures

Bruno Amaro Almeida · WWC 2022

Videos

See all

Related articles

See all