S&C Global Network - AI - Song - CDP-Consultant

Accenture in India; Bengaluru; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Accenture Strategy & Consulting seeks a Consultant/Manager/Analyst for Marketing & Customer Data Platforms to architect and operationalize CDPs and AI-driven marketing data solutions on Google Cloud. You will collaborate with Architects, Data Engineers, Data Scientists, and Marketers to deliver scalable, secure data platforms.

The role emphasizes building production-grade pipelines, real-time activation, and governance across data and analytics, leveraging GCP and modern data tooling.

Qualifications

• Experience architecting enterprise-grade CDPs and data warehouses on GCP.
• Proficient in building scalable data pipelines for streaming and batch data.
• Hands-on with IaC, CI/CD, and cloud-native deployment.

Responsibilities

• Architect and design CDPs and marketing data warehouses on GCP.
• Build robust data pipelines for streaming and batch ingestion.
• Develop and deploy containerized APIs for real-time activation.
• Operationalize ML models and enable real-time inference.
• Ensure governance and security across data platforms.

Skills

Data engineering

MLOps

DevOps

Cloud platforms

Tools

GCP

Adobe RTCDP

BigQuery

Docker

Terraform

Cloud Run

Cloud Dataflow

Pub/Sub

Vertex AI

Artifact Registry

Google Secret Manager

Cloud Functions

Job description

Entity: - Accenture Strategy & Consulting

Team: - Strategy & Consulting – Global Network

Practice: - Marketing Analytics

Title: - Consultant/ Manager/Analyst – Marketing & Customer Data Platforms (GCP, CDP, Agentic AI)

Job location: - Any out of 6 AI locations

About S&C - Global Network (GN): - Accenture GN’s Data & AI (AI Hub India) practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling – to outperform the competition.

WHAT’S IN IT FOR YOU?

As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/Statistical tools/Agentic AI systems, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

What You Would Do In This Role

A Consultant/Manager/Analyst for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers.

As part of that, we are seeking a highly skilled Consultant/Manager/Analyst to architect, build, and operationalize custom Customer Data Platforms (CDPs), Agentic AI systems and marketing data solutions on the Google Cloud Platform (GCP). You will be at the intersection of data engineering, MLOps, and marketing technology, building the foundational infrastructure that enables our clients to understand their customers, predict their needs, and deliver personalized experiences at scale.

Key Duties and Responsibilities: (GCP CDP)

• Architect & Design: Lead the technical design and architecture of enterprise-grade, custom CDPs and marketing data warehouses on Google Cloud Platform (GCP).
• Build Production-Grade Data Pipelines: Engineer robust, scalable, and automated data pipelines for both streaming and batch ingestion using services like Cloud Dataflow, Pub/Sub, and Cloud Functions. Containerize processing jobs with Docker for portability and scalability.
• Model for Insight & Activation: Design and implement data models in BigQuery optimized for customer identity resolution, 360-degree profile creation, segmentation, and analytics.
• Champion DevOps & MLOps: Champion and implement Infrastructure as Code (IaC) using Terraform. Build CI/CD pipelines using Cloud Build to automate testing and deployment, manage container images in Artifact Registry, and secure credentials using Google Secret Manager.
• Deploy & Serve: Develop and deploy containerized, serverless APIs (using Docker and Cloud Run) for real-time data ingestion and activation, feeding customer segments and triggers into marketing platforms.
• Operationalize Machine Learning: Collaborate with data scientists to productionize ML models (e.g., propensity, LTV, segmentation) using the Vertex AI platform. Build automated training pipelines, and deploy models for real-time inference.
• Collaborate & Innovate: Work within a multi-disciplinary team to translate business requirements into technical solutions, prototype new approaches, and provide expert guidance on the art of the possible with GCP and modern data engineering.
• Ensure Governance & Security: Implement solutions that adhere to data governance best practices and privacy regulations (e.g., GDPR, CCPA), ensuring data is handled securely and ethically.

Key Duties and Responsibilities: (RTCDP)

• Be a platform expert in Adobe RTCDP (Adobe Real time CDP). Developer level expertise on Adobe RTCDP (Adobe Experience Platform) is a must with other CDP platforms like Lytics, Segment, Amperity, Tealium, Treasure Data etc. including custom build CDPs as an added advantage
• Deep developer level expertise for real time event tracking for web analytics e.g., Google Tag Manager