Level

Vanguard

Technical Lead, Customer Data & Personalization Platforms

AI in this role

databricks

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

Sponsorship

Vanguard 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.

How we rate this

Technical Lead, Customer Data & Personalization Platforms at Vanguard rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Databricks

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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