Salary not listedPosted 11m ago
Real job — pulled straight from DHL’s careers page · Verified November 11, 2026 · No reposts.
Job description
DHL is hiring a Senior Analytics Implementation Manager — a full-time, based in Singapore role. Apply directly on DHL's careers page below.
Senior Analytics Implementation Manager
Location: Singapore, Central, Singapore
Category: IT
DHL Express - a company that connects people!
What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world.
DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. Start YOUR career with DHL today…
We are looking for a Senior Analytics Implementation Manager to be based in Singapore, Cyberjaya, Malaysia, Belgium or Bonn, Germany.
Role Purpose
Responsible for defining, setting and enforcing the measurement standard across the Digital Customer Solutions product portfolio, ensuring that every customer interaction is captured accurately, consistently and to a common standard as products are built and changed.
This role owns how data is captured — the design of the data layer, the definition of new events and attributes, the configuration of the analytics stack, and the tracking standards that all product teams build against. It requires end-to-end technical understanding of how a customer interaction travels from the browser or application through the delivery, consent and tag layers into the data platform, and where measurement can be lost along that path.
The role directs the technical implementation delivered by ITS engineers and external partners, reviews delivery against the defined standard, and applies AI-assisted methods to raise the productivity and coverage of analytics delivery.
How will you contribute to the success of DHL?
• Define the measurement design for digital products — determine which customer steps must be measured and what data each step must emit, across web, native application and server-side channels.
• Own the data layer specification: rule on how new events and attributes are captured where they do not already exist within the established data layer object and define how they must be built.
• Set, publish and enforce the instrumentation standards that every product team is required to build against, ensuring consistency across all tenants of the platform.
• Own the technical configuration and governance of the analytics stack — Adobe Analytics, Adobe Launch and Adobe Target — including report suites, variable taxonomy, rules and release management.
• Assess and introduce additional measurement capability where the current stack does not serve the need, including event-based and product analytics platforms and experience analytics tooling.
• Ensure instrumentation operates correctly across the full delivery chain — edge and CDN, consent management, tag and personalization layers, and application code — and diagnose where data is lost.
• Direct the technical implementation delivered by ITS implementation engineers and external analytics contractors; review delivered work against the defined standard and hold delivery to it.
• Accountable for whether measurement is correct, complete and consistent across the portfolio, including validation that instrumentation fires as specified before and after each product release.
• Specify what must be captured upstream to satisfy downstream reporting and analysis, working with data engineering on event collection and pipelines into the enterprise data platform.
• Scope and size analytics activation for new products, modules and capabilities entering the portfolio, and translate that scope into resourcing and cost requirements for funding submissions.
• Govern customer-facing data exposure in partnership with data governance stakeholders, ensuring released fields comply with the agreed governance framework and applicable consent and privacy constraints.
• Apply AI-assisted approaches to analytics implementation and quality assurance to increase throughput and coverage without proportional increase in headcount.
Do you have what it takes?
• University degree or comparable qualification, preferably in computer science, engineering, information systems, statistics or a related quantitative discipline.
• Deep hands-on expertise in enterprise digital analytics implementation, specifically Adobe Analytics, Adobe Launch (tag management) and Adobe Target; equivalent enterprise platform experience considered.
• Working knowledge of the wider measurement tooling landscape — event-based and product analytics platforms (Snowplow, Amplitude, PostHog), session and experience analytics (Medallia DXA, FullStory) and voice-of-customer platforms (Medallia VOICE).
• Strong understanding of how modern web applications are architected and delivered, and of the full request path a user interaction travel — CDN and edge delivery (Akamai), consent management (OneTrust) and its effect on what may be collected, tag and personalisation layers, and client- versus server-side execution.
• Practical understanding of data layer design and JavaScript-based instrumentation, including how events, attributes and identifiers are constructed, persisted and passed between layers.
• Familiarity with the downstream data estate — server-side event collection, pipelines into cloud storage (Azure Blob Storage) and enterprise data warehousing (Snowflake) — sufficient to specify what must be captured upstream to make downstream analysis possible.
• Awareness of native application instrumentation (SDK-based) and how it differs from web instrumentation.
• Understanding of data privacy, consent and governance constraints as they apply to customer-facing data capture and exposure.
• Demonstrated ability to define and enforce technical standards across multiple product teams without direct line authority.
• Stakeholder management at senior levels of the organization with a high requirement to influence and gain buy-in and active engagement.
• Demonstrated ability to work across multiple countries and businesses to harmonize and align an agenda and sustain focus on priority areas.
Please submit your application along with your CV in English and a copy of your highest educational degree (e.g., Bachelor’s, Master’s, or MBA certificate).
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Recruitment Fraud Alert: DHL Express will never request payment or personal/financial information from applicants or employees at any stage of the recruitment process. Any such request should be treated as fraudulent. All email correspondence will be sent from the official DHL domain e.g. xxx@dhl.com. Protect yourself by verifying job offers and communications. Your safety is important to us.
Recruitment Team
Get Senior Analytics Implementation Manager jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Software Engineer, PDLC Tooling and Automation (Remote)
$101k–$168kRemote · US, Canada
✓ From careers page· 5d ago
Frequently asked questions
What skills are required for Senior Analytics Implementation Manager at DHL?
The required skills for Senior Analytics Implementation Manager at DHL include: JavaScript, Snowflake, AI.
What is the seniority level for Senior Analytics Implementation Manager at DHL?
Senior Analytics Implementation Manager at DHL is a Senior level position.
How do I apply for Senior Analytics Implementation Manager at DHL?
You can view the full description and apply for Senior Analytics Implementation Manager at DHL on EchoJobs: https://echojobs.io/job/dhl-senior-analytics-implementation-manager-16hzs.