Market Data VP Customer Success Manager SaaS

Department: HOT SG
Salary: 85K+ HKD per month

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RECRUITER SUMMARY

HOT SG Sales, Market Data VP Customer Success Manager SaaS, 85K+ HKD per month

24/12/2024

Candidate Background

Nationality:
Indian Hong Kong PR
Residence:
Singapore
Education:
MBA, Marketing/Finance XXXX, M.Com, Management XXXX, iGNIIT, Software Engineering XXXX, B.Com (Honors), Commerce XXXX
Languages:
English – Native, Bengali – Native, Hindi – Fluent, Marathi, Gujarathi – Basic
Experience:
19+ years of experience in the industryCurrent & Previous Employers and jobs include:  Global Market Data Manager at XXXX, VP – Market Data at XXXX, COO & Market Data Head at XXXX, Customer Success Manager at XXXX, Assistant Consulting Manager at XXXX, Investment Banking at XXXX
Motives:
Is actively looking for a job right now and is interested with the senior customer success role in Hong Kong.  
Current Salary:
Expected Salary:
85K+ HKD per month
Notice Period:
2 Months
Interview Availability:
Requires a day notice

Interview Assessment Notes

1. Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
He has about 20 years of experience in hunting and farming across multiple locations including Europe and APAC, handling large projects and bulge bracket financial institutions niche on both buy sell and sell side hedge funds across the spectrum. He also has very strong relationship with several vendors in the market database, data intelligent space, and in alternative and long tails. He also has lots of experiences in new projects, cost optimization, data optimization, data strategies dealing with various internal and external stakeholders. He’s currently with XXXX as a Global Market Data Manager where he works with end-to-end since he’s a key stakeholder of anything involving data. He works with C-level migrations, deals with lots of customer success, people from the vendor side, and is responsible with invoicing, looking at new data options, competitive landscape cost optimization, data optimization, regulatory environments, compliances, data governance, and building new processes or streamlining processes both global and regional level.

2. What skill(s) / experience would you self-describe as strongest or specialist in? 
Strongest skill would be working with people since he has worked globally across Europe and APAC which makes him very strong connecting with different culture and nationalities. On top of that, he is expert with data-related products and market intelligence as well.

3. Do you have the lists of key criteria’s according to the clients’ requirements?
He has 15-20 years now of experience with customer-facing roles and is an expert in terms of implementation and deployment of SaaS solutions especially during his time with XXXX, XXXX, and is currently managing whole bunch of SaaS companies. He also has been a project manager for implementation and migration so he’s very good at it; on top of that, he has worked with some energy/utility companies before and is familiar with most of the companies in the market.

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