Technical Lead, Customer Data & Personalization Platforms

Vanguard; Charlotte (NC); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Vanguard seeks a Senior Data Platform Leader to architect and govern the MarTech data platform ecosystem, including CDP, identity resolution, and data clean rooms. You will guide design, delivery, and platform operations across cloud-native data solutions.

You will mentor engineers, set governance standards, and partner with Product, Marketing, Analytics, and Engineering to enable AI-enabled personalization through modern data platforms. Hybrid work model offered.

Qualifications

• 8+ years in software/data engineering or data platform development, with 3+ years in technical leadership.
• Experience designing and operating large-scale data platforms and data products.
• Familiarity with modern MarTech/AdTech platforms and audience activation workflows.
• Knowledge of identity resolution, customer profile management, consent management, and privacy.
• Hands-on cloud-native data architectures, preferably AWS.
• Proven ability to mentor engineers and influence architectures across teams.

Responsibilities

• Provide technical leadership for Vanguard's MarTech Data Platform ecosystem including CDP and data activation platforms.
• Architect, design, and deliver scalable, secure, governed data solutions with reliable performance.
• Drive DataOps, CI/CD, testing, observability, and platform operations best practices.
• Collaborate with Product, Marketing, Analytics, AdTech, and Engineering to translate business objectives into scalable tech solutions.
• Oversee full solution lifecycle from architecture reviews to deployment and optimization.
• Establish data governance, privacy, security, and compliance standards across customer data.
• Evaluate emerging technologies and shape roadmaps for marketing and activation strategies.
• Mentor engineers and contributors on architecture, design patterns, and engineering practices.
• Communicate platform strategy, risks, and direction to stakeholders at all levels.
• Foster continuous improvement through modernization, automation, and operational metrics.

Skills

Technical leadership

Data engineering

Python

SQL

Spark

Kafka

Databricks

Delta Lake

Lakehouse

AI/Machine learning

Data governance

Tools

AWS

Databricks

Delta Lake

Unity Catalog

Customer Lake CDP

Job description

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 , ensuring reliability, performance, and operational excellence across the platform landscape.
• Drive engineering best practices across data architecture, DataOps, observability, CI/CD, testing, security, and platform operations.
• Partner closely with Product, Marketing, Analytics, AdTech, and Engineering teams to translate business objectives into durable, scalable technical solutions.
• Provide technical oversight for the full solution lifecycle , including architecture reviews, design decisions, implementation, testing, deployment, and ongoing optimization.
• Establish and enforce data governance, privacy, security, and compliance standards for customer and identity data, ensuring alignment with enterprise and regulatory requirements.
• Evaluate emerging technologies and platform capabilities , developing roadmaps and recommendations that advance Vanguard's marketing, customer intelligence, and activation strategies.
• Coach and mentor engineers and technical contributors , providing guidance on architecture, design patterns, engineering practices, and technology adoption.
• Communicate platform strategy, technical direction, risks, and recommendations to stakeholders at varying levels across Product, Engineering, and business organizations.
• Drive continuous improvement through modern engineering practices, automation, operational metrics, and platform optimization initiatives.

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 , Delta Lake, Customer Lake CDP, Unity Catalog, and modern 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

• SponsorshipVanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.