VIE - Data Ambassador - Singapore job opportunity at Pernod Ricard.



DatePosted 30+ Days Ago bot
Pernod Ricard VIE - Data Ambassador - Singapore
Experience: General
Pattern: full-time
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degreeMaster's (M.A.)
loacation Paris, France
loacation Paris....France

Context & Purpose of the Role The SEA Data Ambassador supports Pernod Ricard’s Group Transformation agenda by accelerating data readiness and local data governance adoption across four Southeast Asian markets: Singapore, Malaysia, Indonesia, and the Philippines. Positioned within the APAC Management Entity , the role acts as a bridge between global data standards and local execution, ensuring consistent data quality, clear ownership, and sustainable governance practices across Product, Supplier, Customer, and Chart of Accounts domains. By onboarding and coaching local data stewards, orchestrating data quality improvements, and fostering data literacy, the Data Ambassador enables reliable planning and execution while embedding robust, scalable ways of working across the region. Key Responsibilities Data Readiness Activation & Data Quality Operations Launch and coordinate local data readiness activities across the four SEA markets for Product, Supplier, Customer, and CoA domains Drive data quality checks, issue tracking, and remediation backlogs with clear owners, SLAs, and timelines Verify corrections in local ERPs and ensure alignment with MDM and target data views Data Governance & Harmonization Facilitate adoption of global data standards, LEAP/MDM models, and governance principles across local affiliates Clarify data definitions, ownership, and stewardship roles Promote simple, pragmatic governance rituals embedded into daily operations Systemic Improvement & Root Cause Analysis Analyze recurring data issues and profiling insights to identify root causes Advocate process improvements that reduce rework while remaining compliant with global standards Track acceptance criteria and escalate risks or blockers with documented evidence Tooling & Digital Enablement Promote consistent use of data quality platforms, data catalogs, glossaries, and supporting templates Support affiliates in producing auditable rollout evidence (snapshots, mappings, sign-offs) Coordinate lightweight lineage and interface documentation to support BI and reporting traceability Capability Building & Community Animation Onboard and coach local data stewards and subject matter experts Run clinics, training sessions, and share “how-to” playbooks Animate a four-country Community of Practice, sharing quick wins, reusable assets, and KPIs Reinforce business value creation (planning accuracy, execution reliability) to sustain engagement Data Migration Readiness Translate global migration requirements into concrete local actions Monitor readiness progress, risks, and dependencies across the four markets Coordinate with APAC ME Data Governance Lead, Global Data Governance teams, and Operations Master Data specialists Prepare affiliates for migration milestones with auditable handover packs Profile & Skills Core Competencies Data governance activation and stewardship coaching Community building and cross-cultural collaboration Influencing without authority in complex matrix environments Strong process discipline, rigor, and attention to detail Data-driven mindset with structured problem-solving abilities Functional & Technical Skills Lightweight governance frameworks (RACI, cadences, workflows) Data quality monitoring and backlog management Data catalog, glossary, and basic lineage concepts Familiarity with DQ platforms, Snowflake (read-only), Excel / Power Query Ability to translate global standards into pragmatic local practices Leadership Capabilities Cross-functional collaboration Analytical thinking and root-cause orientation Clear reporting and structured communication Cultural agility and multi-country coordination Pernod Ricard is committed to offering equal opportunities to all talents. Our recruitment methods focus on skills and competencies. Job Posting End Date: Target Hire Date : 2026-05-01 Target End Date :

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