At a Glance
- Tasks: Lead the charge in personalisation and data management across digital platforms.
- Company: Join Fisher Investments, a purpose-driven company with an inclusive culture.
- Benefits: Enjoy 100% paid health premiums, generous PTO, and family support programmes.
- Other info: Great career growth opportunities in a dynamic, supportive environment.
- Why this job: Make a real impact by connecting data and marketing in innovative ways.
- Qualifications: 8+ years in software engineering or marketing tech, with CDP experience.
The predicted salary is between 60000 - 75000 £ per year.
The Opportunity: We are looking for a Technology Lead to own and scale personalization, customer data, and consent management capabilities across Fisher's digital ecosystem. This role sits at the intersection of engineering, data, and marketing and is responsible for connecting our CDP (Tealium), enterprise data platform (Databricks), and activation channels (web, Client Center, LMS, SFMC). You will report to the Team Leader.
The Day-to-Day:
- Manage CDP (Tealium), personalization (Dynamic Yield), and consent management capabilities, including identity resolution, segmentation, and activation across all digital channels.
- Define and implement the decisioning layer that connects Databricks, CDP, and activation platforms (web, Client Center, SFMC, OTT).
- Establish standards for event tracking, tagging, data flows, and consent capture to allow real-time and batch personalization and communication use cases.
- Lead design and execution of personalization and consent strategies, ensuring consistent targeting, compliance, and experience delivery across channels.
- Partner with Marketing, Product, Data, and Compliance teams to translate our goals and regulatory requirements into scalable, measurable solutions.
Your Qualifications:
- 8+ years of experience in software engineering, digital platforms, or marketing technology.
- Hands-on experience with CDP platforms (Tealium, Segment, Adobe RTCDP, or similar).
- Experience implementing personalization or decisioning platforms (Dynamic Yield, Optimizely, Adobe Target, etc.).
- Experience with event-driven architecture, data pipelines, and API-based integrations.
- Experience working with consent management, privacy frameworks, or regulated data environments.
- Translate business and regulatory requirements into technical solutions.
Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:
- 100% paid medical, dental and vision premiums for you and your qualifying dependents.
- A 50% 401(k) match, up to the IRS maximum.
- 20 days of PTO, plus 10 paid holidays.
- Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care.
This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change.
FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
CDP Technology Lead (ARLINGTON) employer: Fisher Investments
Fisher Investments is an exceptional employer that prioritises the growth and well-being of its employees, offering a vibrant work culture in Arlington. With comprehensive benefits including fully paid medical premiums, generous PTO, and robust family support programs, we foster an inclusive environment where every team member can thrive. Our commitment to professional development ensures that you will have ample opportunities to advance your career while contributing to our mission of bettering the investment universe.
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We think this is how you could land CDP Technology Lead (ARLINGTON)
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We think you need these skills to ace CDP Technology Lead (ARLINGTON)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fisher Investments. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fisher Investments!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
