Technical Lead, Customer Data & Personalization Platforms
Core Responsibilities
- Provide technical leadership for Vanguard's MarTech Data Platform ecosystem
, including Customer Data Platforms (CDP), Identity Resolution, Data Clean Rooms, customer data assets, and activation platforms that power modern marketing and personalization at scale. •
Lead the architecture, design, and delivery of scalable, secure, and governed data solutions
Drive engineering best practices
Partner closely with Product, Marketing, Analytics, AdTech, and Engineering teams
Provide technical oversight for the full solution lifecycle
Establish and enforce data governance, privacy, security, and compliance standards
Evaluate emerging technologies and platform capabilities
Coach and mentor engineers and technical contributors
Communicate platform strategy, technical direction, risks, and recommendations
Drive continuous improvement
Qualifications
- Minimum of 8+ years of experience
in software engineering, data engineering, or data platform development, including
3+ years in a technical leadership role
.
- Strong experience designing, building, and operating large-scale data platforms, data products, and distributed data processing solutions.
- Familiarity with modern
MarTech and AdTech platforms
, including audience activation, measurement, campaign orchestration, and digital marketing ecosystems.
- Knowledge of performance marketing, customer journey analytics, personalization, audience targeting, and marketing measurement.
- Experience with
Identity Resolution
, customer profile management, audience segmentation, consent management, and customer intelligence platforms.
- Experience working with
Data Clean Rooms
and privacy-safe data collaboration technologies preferred.
- Hands-on experience with cloud-native data platforms and architectures, preferably AWS.
- Deep expertise in
data engineering technologies
, including Python, SQL, Spark, Kafka, and modern data processing frameworks.
- Hands-on experience with
Databricks
Lakehouse architectures
preferred.
- Experience with GenAI, agentic AI, and MCP, enabling AI-powered personalization, customer intelligence, and marketing experiences through modern data platforms.
- Experience building scalable batch and streaming data pipelines with a strong focus on performance, reliability, observability, and data quality.
- Strong understanding of DataOps, CI/CD, Infrastructure as Code, automated testing, monitoring, and operational excellence practices.
- Experience designing APIs and data services to support consumer, analytics, and activation use cases.
- Strong understanding of data governance, metadata management, privacy, security, and regulatory considerations involving customer data.
- Proven ability to influence architecture decisions and collaborate effectively across Product, Engineering, Marketing, Analytics, and business stakeholders.
- Demonstrated ability to mentor engineers and provide technical leadership across cross-functional teams.
- Experience supporting AI/ML, customer intelligence, or next-generation marketing platforms preferred.
- Passion for evaluating emerging technologies and shaping enterprise-wide standards and best practices.
Special Factors
Not included in the source posting: benefits.
Skills
Who can apply
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