Program Delivery Director – Enterprise Data Migration (AWS)
Location: Charlotte, NC (Hybrid / Local Leadership Presence Preferred)
Overview
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.
What You Bring
- 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.
Why This Role
- Lead visible, mission-critical transformations for complex enterprises.
- Operate with real influence at the executive table—this is not a delivery-only role.
- Work locally from Charlotte, while driving programs with national and enterprise impact.
- Shape the future-state data foundation that enables analytics, AI, and digital innovation.
Salary and Other Compensation:
Applications will be accepted until May 30, 2026.
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
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准确。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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