Engagement Manager
Quantiphi is seeking an Engagement Manager to lead large-scale data and cloud initiatives within their AI and Big Data domain. The role involves managing the full project lifecycle, client relationships, and team development for groups of 40-50 people. Candidates should have deep experience with cloud platforms like GCP, AWS, or Azure and expertise in data management. This position offers the chance to drive digital transformation for global clients in a high-growth environment.
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Experience
10-14 years
Function
Consulting
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Quantiphi is seeking an Engagement Manager to lead large-scale data and cloud initiatives within their AI and Big Data domain. The role involves managing the full project lifecycle, client relationships, and team development for groups of 40-50 people. Candidates should have deep experience with cloud platforms like GCP, AWS, or Azure and expertise in data management. This position offers the chance to drive digital transformation for global clients in a high-growth environment.
TAL's take
Solid senior management role in a growth-stage AI services company, though the scope is typical of large-scale project management consultancy.
The JD provides a very clear breakdown of responsibilities across client management, project delivery, and team leadership.
Salaries at Quantiphi
14.3 LPA average
Based on 54 Grapevine salary entries for Quantiphi.
Operations
0 - 2 years | L1
4 LPA average
Range: 4 - 4 LPA
Sales
0 - 2 years | L1
7 LPA average
Range: 6 - 7 LPA
Engineering
0 - 2 years | L1
6 LPA average
Range: 6 - 6 LPA
Other roles
0 - 2 years | L1
8 LPA average
Range: 6 - 10 LPA
Must haves
- Excellent client communication and presentation skills
- Experience managing a midsize team of 40-50
- Experience managing large data and cloud engagements
- Proficiency with GCP, AWS, or Azure platforms
- Ability to discuss data management and governance
- Strong grasp of risk and scope management
Tools and skills
Nice to have: open ai, data science, artificial intelligence, hybrid cloud architecture, application data security, infrastructure security.
About the company
Quantiphi is an established AI/data services firm with significant scale but does not meet the criteria for global tier-1 flagship tech companies.
Posts mentioning Quantiphi
Need help and advice please😭🙏🏻
Hi All, I have recently switched from Accenture to Quantiphi. 6th April was the last working day at Accenture and 13th April was my onboarding with Quantiphi. I have around 5 years of working experience as a data engineer, working with SQL, GCP tools, BigQuery, Cloud Composer, Airflow, SSIS, SSRS. During the interview and the job description that Quantiphi gave was perfectly aligning with my skills. But today was the day I am feeling completely lost and broken with no idea on what to do next. I got the project details today and my task here would be, for a client, for a new geographic location they want to expand their business where Azure or GCP or Azure has limited rules, so Alibaba cloud is what they want to use. Now my task would involve about, whatever services they were using in Azure, those same replicas or other concepts how we can achieve or available in Alibaba, those POCs I need to work with. I was completely blank after hearing this. This is so new to me, although learning is not something that I am running away from, but this is not aligned with my skill set and this is not something a data engineer does. My task was to make raw data consumable and help the leadership team in making data driven decisions. Please do genuinely advise me on the next steps what should I do, whom should I reach out to. I am having a breakdown today and been questioning the choice I made choosing this over General Mills as it was paying less. Atleast a product based company won’t do this. I want someone to talk to. Please please help me out guys😭😭
How is Quantiphi analytics work culture and WLB?
Is it good to join Quantiphi as data engineer from a renowned product based company? How is work culture? Learning and pay?
Rate My Techstack: Potential Data Engineering Roles
I will be using a scale of 10 for better quantification. Python : 7/10 SQL: 7/10 PowerBI: 9/10 ML(Pandas): 6/10 PLSQL: 6/10 Advanced Excel: 8/10 Azure Databricks + DataFactory : Started learning Apache Spark: Started learning Communication skills: 9/10 Prior Work Ex: 1.8yrs as a PLSQL developer (started off as a fresher) + one SAP internship of 4months + one Data analyst internship of 1 month Aspiration : Data Engineering Role 1. Is the above techstack enough to get me a good data engineering role? Will I be able to clear the technical rounds at companies like accenture, IBM etc with this profile? I have heard the barrier to entry for data engineering is higher than that of data analyst. 2. Do I need to learn DSA? 3. What salary range do I fall in with this profile? I seek your honest answer. I feel lost. Also, should I focus more on improving my cloud skills or shall I be more competent with my python skills? Which one would pay me off in a better sense financially? I certainly can not focus on all the tools at once.