WE ARE HIRING: AI-LED BUSINESS AUTOMATION & MIS MANAGER
Are you a Data, BI, MIS & AI professional who believes that data should not just create reports — it should help run the business?
We are looking for an exceptional AI-Led Business Automation & MIS Manager to join The Retail Jeweller, a 21-year-old leading Media & Events organisation serving India’s Jewellery Industry.
This is a ground-up transformation opportunity.
We want to move from a traditional, people-driven organisation to a DATA-DRIVEN, AI-LED and MIS-DRIVEN organisation, where management can see what is happening across the business in real time and make faster, smarter decisions.
ABOUT THE ROLE
Organisation: The Retail Jeweller
Industry: Media • Publishing • Events • Exclusive in Jewellery Industry
Location: Mumbai- Kurla
Work Model: Remote / Work From Home
The role is designed as a remote position with 1 day per week from our Mumbai office after the initial transformation phase.
However, during the first two months, the candidate will need to work closely with the management team and spend significant time in the office to understand our business, systems, people, processes, data and digital transformation vision.
This is important because you will not simply be maintaining an existing MIS.
You will be building the MIS and AI-led management architecture of the organisation.
YOUR MISSION
Build the Business Intelligence & Management Information System that becomes the nerve centre of The Retail Jeweller.
You will work across 6 major divisions and 40+ potential internal users, creating dashboards, automated workflows, data models, analytics and AI-led decision-making systems.
YOU WILL WORK ACROSS
1️⃣ MEDIA SALES
2️⃣ EVENTS, DELEGATE & AWARDS SALES
3️⃣ BRAND MARKETING & LEAD GENERATION
4️⃣ EDITORIAL & STUDIO
5️⃣ FINANCE, ADMIN & HR
6️⃣ MANAGEMENT
Build the CEO / MANAGEMENT DASHBOARD that gives leadership a real-time view of:
Revenue
Targets & achievements
Collections
Leads & conversions
Event performance
Media performance
Division-wise productivity
⚠️ Risks & bottlenecks
Forecasts
AI-generated insights & recommendations
AI IS A MUST
We are not looking for someone who only knows Excel and Power BI.
We want someone who understands how to combine:
AI + BI + Automation + Data + Business Intelligence
You should be excited about using AI tools to automate repetitive processes, identify patterns, generate insights, improve forecasting and build intelligent management systems.
KEY RESPONSIBILITIES
• Translate business requirements into data-driven management tools
• Design and maintain data marts and data models
• Build interactive dashboards and visualisations using Power BI and AI-enabled BI tools
• Standardise and automate business processes
• Establish data validation, quality and integrity systems
• Build automated weekly, monthly, quarterly and annual MIS
• Create management dashboards and business scorecards
• Develop AI-led analytical models and decision-support tools
• Monitor data flows across departments
• Identify correlations, trends, opportunities and bottlenecks
• Build the bridge between traditional MIS, BI, analytics and AI
• Work directly with business heads and senior management
• Continuously identify opportunities for digital transformation and automation.
QUALIFICATION
Bachelor's / Master's degree in:
Engineering | Computer Science | Statistics | Econometrics | Data Science | AI | Business Analytics
Strong practical experience in MIS, BI, data modelling, dashboards and business analytics is essential.
Power BI experience is strongly preferred.
Knowledge of data warehousing, query design, SAP BDC / Datasphere or similar platforms would be an advantage — but is not mandatory.
THIS IS A UNIQUE OPPORTUNITY
If you are someone who says:
“Give me the business data, the problems and the processes — and I will build the system that makes the business smarter.”
—we want to hear from you.
This is an opportunity to work directly with the leadership team and play a critical role in transforming a 21-year-old media and events organisation into a modern, AI-led, data-driven enterprise.
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