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[Hiring] Consultant/ Manager/Analyst – Marketing & Customer Data Platforms (GCP, CDP, Agentic AI) @Accenture

February 9, 2026

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role involves serving as the day-to-day marketing technology point of contact and helping clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation.

Architect, build, and operationalize custom Customer Data Platforms (CDPs), Agentic AI systems, and marketing data solutions on the Google Cloud Platform (GCP).
Work with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers.

Key Duties and Responsibilities: (GCP CDP)

Lead the technical design and architecture of enterprise-grade, custom CDPs and marketing data warehouses on Google Cloud Platform (GCP).
Engineer robust, scalable, and automated data pipelines for both streaming and batch ingestion using services like Cloud Dataflow, Pub/Sub, and Cloud Functions.
Design and implement data models in BigQuery optimized for customer identity resolution, 360-degree profile creation, segmentation, and analytics.
Champion and implement Infrastructure as Code (IaC) using Terraform.
Develop and deploy containerized, serverless APIs for real-time data ingestion and activation.
Collaborate with data scientists to productionize ML models using the Vertex AI platform.
Implement solutions that adhere to data governance best practices and privacy regulations.

Key Duties and Responsibilities: (RTCDP)

Be a platform expert in Adobe RTCDP with developer-level expertise.
Provide deep domain expertise in clients’ business and broad knowledge of digital marketing.
Assess and audit the current state of a client’s marketing technology stack.
Create a strategic CDP roadmap focused on data-driven marketing activation.
Ensure analytics are consistently implemented across digital properties.

Key Duties and Responsibilities: (Agentic AI)

Architect the core interaction logic and decision-making frameworks for enterprise-grade, agentic AI systems.
Design agentic AI systems for scalability, robustness, and real-time responsiveness.
Develop and deploy AI-driven solutions for generating multimodal marketing assets.
Mentor and guide junior resources, fostering a collaborative and growth-oriented team environment.

Qualifications

B Tech/M Tech from reputed engineering colleges.
Masters/M Tech in Computer Science.
Master's degree in Statistics/Econometrics/Economics from a reputed institute.
M.Phil/Ph.D in Statistics/Econometrics or related field.
3+ years of hands-on experience in data engineering or software engineering with a data focus.
At least 2+ years of demonstrable experience building and managing data solutions on a major cloud platform (GCP is strongly preferred).
Strong understanding of data governance and compliance (i.e. PII, PHI, GDPR, CCPA).

Requirements

At least 2+ years of relevant work experience implementing CDP solutions.
Strong hands-on experience with advanced JavaScript and jQuery.
Experience with A/B testing tools like Adobe Target is a plus.
Advanced proficiency in Python is mandatory.
Experience with Google Cloud Professional Machine Learning Engineer (PMLE) certification is highly desired.

Benefits