Customer Data Platfrom (CDP) Delivery Lead | Staff of Non-line Manager| IT Marketing & Sales Japan,
About Us:
· At Boehringer Ingelheim, we’re building modern customer data capabilities that power personalized, meaningful interactions across marketing, sales, and service.
· Our Customer Data Platform (CDP) ecosystem integrates data from global markets to create a single, trusted customer view that fuels AI‑driven insights and enables use cases such as segmentation, automation, and Next Best Action (NBA).
· Our platforms include Treasure Data and Salesforce Data Cloud.
The Opportunity:
· As the CDP Platform Delivery Lead, you bridge technical execution and solution delivery across our global CDP ecosystem.
· You work hands‑on across data ingestion, pipelines, and quality engineering.
· You collaborate with business teams to shape requirements, design solutions, and guide them from idea to production.
· You partner closely with the existing Solution Architect while owning delivery details for specific use cases and data products.
Key Responsibilities:
- Solution Design & Requirements (Business Collaboration)
· Translate business objectives into clear, testable technical requirements and acceptance criteria.
· Facilitate discovery and design workshops; capture data contracts, success metrics, and SLAs.
· Design solution and data‑flow diagrams across source systems → CDP → activation destinations.
· Consult on scope refinement, feasibility, and iterative delivery planning.
- Hands‑on Engineering, Ingestion & Quality
· Build, enhance, and operate data ingestion pipelines (batch + streaming) into the CDP ecosystem.
· Develop and maintain automated data quality checks across ingestion and transformation layers.
· Use SQL for profiling and validation; use Python for test automation and data fixtures.
· Validate business logic, segment rules, identity resolution, and cross‑system integrations.
· Partner with Data Engineers to shift‑left quality and standardize ingestion datasets.
- Observability, Reliability & SLAs
· Track data freshness, test coverage, and SLAs.
· Drive issue surfacing, triage, and root‑cause analysis.
- Governance, Privacy & Compliance
· Embed consent models, PII handling, and traceability into solution designs and validations.
- Stakeholder Enablement
· Document patterns, playbooks, and runbooks.
· Enable teams through demos, training, and knowledge sharing.
- How You’ll Work
· Partner closely with Data Engineers, the Solution Architect, Product/Marketing, and Analytics.
· Work across ingestion, quality automation, solution design, and requirement refinement.
· Typical allocation: ~35–40% solution design & stakeholder work, ~40% engineering & automation, ~20% governance/enablement.
- Success Measures
· Higher trust in customer 360 data and reduced data defects.
· Faster, safer releases through automation and clear acceptance criteria.
· Business value realized through timely use‑case launches with measurable impact.
Required Skills & Experience
- Must‑Have (Core Fundamentals)
· Strong SQL and Python for building and validating data workflows; please share code or samples where possible.
· Hands‑on experience (~3+ years or equivalent) operating ingestion pipelines (batch or streaming) and delivering reliable data to downstream systems.
· Ability to translate business needs into technical deliverables (user stories, acceptance criteria, simple data‑flow diagrams).
· Data quality and reliability basics: checks/monitoring, troubleshooting/triage, and privacy awareness (consent & PII).
- Nice‑to‑Have (You Can Learn This Here)
· Any CDP exposure (e.g., Treasure Data, Salesforce Data Cloud) and activation patterns.
· Identity resolution/segmentation; integrations to destinations like Salesforce Marketing Cloud or CRM.
· Git‑based CI/CD, orchestration (Airflow/dbt), containers (Docker).
· APIs (REST/GraphQL), JSON/Parquet, CDC; observability for SLAs.
Experience & Language
· 3+ years of relevant experience or equivalent practical proof; we value skill and impact over titles or tenure.
· Japanese is a must for local stakeholder engagement; Business English required.
We know no one checks every box — if you’re close and excited about the mission, please apply.
Work Model
· Hybrid (3 days/week)
· Location: Japan
· Level: Flexible