Campaign Analytics & AI Enablement Specialist

Citigroup; Hyderabad; Hybrid; INR 1,200,000 - 2,100,000; Full time

Job summary

Citigroup in Hyderabad is seeking a Campaign Analytics & AI Enablement Specialist (C11) to own analytics for customer campaigns across wealth products. You will combine data pipelines, performance analytics, and AI-enabled automation to optimize targeting, ROI, and governance.

This hybrid role partners with product, marketing, and RM teams to deliver on-time campaigns and actionable insights that inform wealth management strategies.

Qualifications

• Proven ability to design and run data pipelines for marketing campaigns.
• Proficient in SQL, Python, PySpark and modern analytics tooling.
• Experience with AI-enabled analytics and NLP in campaign optimization.

Responsibilities

• Campaign Execution & Data Pipeline Management across wealth programs.
• Performance analytics, funnel diagnostics, and lift measurement.
• Context engineering, knowledge base setup, and AI-assisted automation.

Skills

SQL

PySpark

Python

Tableau

Power BI

Git / GitHub

NLP

Tools

Tableau

Power BI

Job description

Citi is looking for a Data & Information Management Analyst to join a team that turns complex data challenges into clear, actionable intelligence that directly shapes business decisions. In this role, you will extract, analyze, and automate data workflows across large-scale databases, delivering reliable outputs that support critical initiatives across multiple business units. Your work will have a direct impact on the quality and timeliness of insights that drive performance across the team and its closest partners.

What the Role Is

We are hiring a Campaign Analytics & AI Enablement Specialist (C11) to join our Wealth Campaign Analytics, Execution & Optimization team.

In this hybrid role, you will be the analytical owner and operational lead for customer campaign programs across wealth products (e.g., Investment Products, Wealth Advisory, Mortgages, FX, Time Deposits, and Digital Banking). You will combine core data execution, performance analytics, and campaign optimization with applied AI enablement -leveraging modern GenAI tools, prompt and context engineering, knowledge base setup, retrieval optimization, Text-to-SQL assistants, and NLP to design, automate, execute, and continually optimize high-impact marketing and client engagement campaigns.

As a C11-level specialist, you will bridge the gap between business stakeholders and data platforms, maintaining rigorous data governance while championing AI-assisted productivity and analytical optimization within the team.

Who You Are

• AI-Augmented Data Practitioner: You actively leverage modern GenAI tools, conversational assistants, context engineering, and prompt design to supercharge analytics, code generation, and campaign operations.
• Campaign Orchestrator & Optimizer: You excel at translating complex business requirements into high-performance data extraction queries using SQL, PySpark, and Python , continuously refining targeting logic to maximize campaign conversion and ROI.
• Analytical Problem Solver: You apply structured analytical techniques-such as funnel diagnostics, test-versus-control lift analysis, and cohort evaluation-to uncover performance drivers and optimize marketing channels.
• Workflow Innovator: You proactively automate repetitive processes-using AI for Text-to-SQL generation, automated insight summarization, knowledge base curation, and content variant ideation.
• Disciplined & Version-Controlled: You manage analytical assets, queries, and automation scripts using Git / GitHub for robust code collaboration and version control.
• Process & Controls Oriented: You uphold strict campaign gating criteria, contact fatigue management, customer privacy regulations, and risk/compliance controls.

What You Do (Core Responsibilities)

• 1. Campaign Execution & Data Pipeline Management Partner with Wealth Product Managers, Marketing, and Relationship Manager (RM) teams to translate campaign objectives into robust technical targeting criteria. Develop, test, and execute data extraction queries and pipelines using SQL, PySpark, and Python to generate qualified lead lists. Enforce campaign gating, contact frequency rules, suppression logic (e.g., Do-Not-Contact lists, regulatory opt-outs), and eligibility filters across digital and RM channels. Manage end-to-end campaign delivery calendars, ensuring 100% on-time execution of scheduled and trigger-based wealth programs.
• 2. Performance & Funnel Analytics: Analyze campaign engagement funnels (Targeted Delivered Engaged Converted Balance/NNA Impact) to diagnose drop-offs and identify growth opportunities. Experimentation & Lift Measurement: Design and execute test-versus-control experimental frameworks and A/B test splits to isolate incremental campaign lift and revenue impact. Targeting & Channel Optimization: Analyze response patterns across customer segments and delivery channels (Mobile App In-App/Push, Online Banking, Email, SMS, RM CRM) to recommend targeting refinements and channel mix optimization. Interactive Visualizations: Build and maintain interactive performance tracking dashboards and diagnostic tools in Tableau / Power BI with automated underlying data feeds.
• 3. Context Engineering & Knowledge Base Setup: Organize, structure, and curate internal campaign rules, data dictionaries, and targeting playbooks into searchable knowledge bases to enable high-accuracy AI retrieval and team knowledge sharing. Retrieval Optimization: Optimize data retrieval contexts and prompt structures to ensure conversational AI and retrieval-augmented tools deliver precise, hallucination-free analytical outputs and code. Text-to-SQL & Natural Language Processing (NLP): Apply Text-to-SQL interfaces and NLP techniques to accelerate ad-hoc data exploration, query generation, and unstructured client feedback/interaction analysis. AI-Assisted Code Acceleration: Utilize GenAI coding tools to rapidly draft