Senior Manager

Role: Senior Manager - Data & System Integrations – CRM, Analytics & Platform EnablementReporting to: Performance Lead – Digital & MartechLocation: Gurgaon About Us: VML, a WPP company, is a global powerhouse born from the unification of Wunderman Thompson and VMLY&R — two of the world's most powerful and accomplished creative agencies with complementary capabilities and geographic strengths. We have an industry-unique opportunity to provide our client partners with a fully integrated offering across brand experience, customer experience and commerce practices — powered by deep data and technology experience.For more information, visit www.vml.comRoles & Responsibilities:Manager - Data & System Integration is a mid-senior data capability champion - responsible for aligning marketing and customer data system across Salesforce, analytics, legacy SAP. This resource will manage enterprise data pipelines, ETL frameworks, and cross-channel integrations to drive real-time personalization, platform experimentation, and performance intelligence across 8+ markets.This is a hybrid strategic, technical, and consultative role—ideal for someone who combines Martech consulting experience with technical fluency in CRM data architecture, analytics readiness, and cross-regional stakeholder engagement. The resource will work daily with data teams handing data from different geographies, lead conversations with global analytics, and consult markets on platform-driven innovation.The resource will also serve as the data integration counterpart to the Digital Operations Lead and Digital Experience Lead—ensuring the Martech stack works as one coherent ecosystem.Core Responsibilities Data Strategy, Architecture & Governance Manage and monitor data pipelines across Salesforce Marketing Cloud, Salesforce Data Cloud, SAP, and analytics tools (e.g. Power BI).Provide a structured approach to building data pipelines for data integration, transforming, and loading into a target systemPartner with global marketing data teams to align enterprise data architecture with evolving use cases.Govern data mapping, field standardization, consent tracking, and platform tagging across CRM and web properties.Co-ordination (remote) with Market teams from Southeast Asia, Oceania and Middle East to understand the market-specific systems and data architectureRegional Data & Communication Oversee coordination with CRM data ops teams and analytics leads in India, and platform partners globally.Deliver clear, structured data presentations and insights to business and technical audiences alike.Analytics Integration & Performance Enablement Define the tagging and tracking strategy that enables end-to-end performance visibility across media, CRM, and digital platforms.Ensure data feeds into analytics dashboards (Power BI, internal Ford tools) are accurate, complete, and decision-ready.Collaborate with the Marketing Science Unit and regional analytics pods to define data readiness protocols and campaign attribution models.Standards, Documentation & Enablement Maintain technical documentation: field dictionaries, data ingestion maps, consent logic, and integration frameworks.Design SOPs, QA checklists, and incident response protocols for all major data pipelines.Train regional teams and agencies on data model changes, tagging protocols, and Salesforce activation best practices. Skills and competencies: 6+ years in data architecture, CRM data strategy, or marketing technology integrationA senior Martech consultant, data strategist, or enterprise architect with hands-on Salesforce and ETL leadership experience.Someone who enjoys translating between business goals and data architecture—and can influence across IT, marketing, and analytics.A collaborator who works well in matrixed teams, leads by influence, and thrives on large-scale transformation.Hands-on knowledge of Salesforce Data Cloud, Marketing Cloud, and legacy SAP data modelsExperience designing and scaling ETL pipelines via tools such as Informatica, Talend, MuleSoft, Fivetran, or custom APIs Strong understanding of data governance, privacy (GDPR, PDPA), consent management, and tagging architectureFamiliarity with analytics platforms (Power BI, Google Analytics, Adobe Analytics) and data visualization tools