Senior Engagement Manager

Posted 10 Hours Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
The Senior Engagement Manager will oversee end-to-end delivery of B2B software solutions, manage multiple projects, facilitate governance meetings, and lead teams using Agile methodologies. They will also drive deliverable creation, identify client opportunities, and collaborate with stakeholders to solve complex business problems in cloud environments, particularly AWS.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Must Have Skills :

  • Minimum 8 years of relevant experience.

  • Experience in managing projects involving end-to-end delivery of B2B software solutions to the customer. Experience of working in projects involving cloud deployments (preferably on AWS).

  • Experience managing multiple projects simultaneously, facilitating governance meetings, and presenting to clients independently.

  • Knowledge of leading teams on projects using Agile methodology and frameworks like Scrum, Kanban or XP, etc.

  • Experience with data analysis and basic data visualization in tools like Excel and BI tools. Experience in production grade data warehouse creation and data visualization projects.

  • Ability to identify problems, mediate issues, develop solutions, and implement an appropriate course of action.

  • Experience and educational background in Computer Science, Information Technology or Cloud Technologies would be preferred.

  • Excellent communication skills; ability to create high quality documentation along with ability to drive conversations towards constructive outcomes with a wide variety of stakeholders.

  • Drive the creation, planning, execution and closure of deliverables for the delivery of Quantiphi’s solutions pertinent to Software Development, Machine Learning or Data and Analytics.

  • Identifying and developing new client opportunities to innovate, transform and build capabilities on the AWS cloud.

  • Lead the project and be the key liaison for requirement gathering, problem definition and creation of user stories. Execute deliveries using agile delivery methodologies.

  • Applying the right analysis frameworks to develop creative solutions to solve complex business problems.

  • Planning and executing both short-term and long-range projects and manage teamwork and client expectations.

  • Performing technical tasks such as creating business requirement documents, user training manuals, requirement traceability matrices.

  • Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions. Collaborate with customers to solve business problems from a product delivery perspective.

  • Collaborate with subject matter experts to define point of view and create presentations for both internal and external stakeholders.

  • Collaborate closely with product teams as applicable to influence product planning, roadmaps based on client requirements.

Good To Have Skills:

  • Experience of managing implementation of various data modeling, reporting and visualization techniques in Qliksense

  • Experience of working on projects in the retail domain

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Top Skills

AWS
The Company
HQ: Marlborough, MA
3,494 Employees
On-site Workplace
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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