Engagement Manager

2 weeks ago

Bengaluru, Karnataka, India Tiger Analytics Full time

About the role:

As CPG Growth Lead/Pre-sales consultant, you will be responsible for understanding, articulating, and showcasing Tiger Analytics capabilities in solving complex business problems across the CPG Value Chain.

You will work closely with the account management team and clients to understand the business requirements and develop a suitable solution POV.

This will require collaboration withcolleagues working on different client programs as well as Technical teams comprising of Data Science and various Engineering SMEs.

You will support initiatives to create impactful solution proposals and point of views for CPG Analytics use cases.

Experience :
8 to 13 yearsLocation : Chennai, Bangalore, HyderabadOn a typical work day, you could be doing one or more of the following:

  • Collaborate with the Account and Business Development teams for creating solutions, PoVs for RFP responses
  • Conduct in-depth analysis of client requirements and understanding their challenges
  • Orchestrate the overall Proposal creation process and develop solutioning for clients problem statements with help ofSMEs
  • Consolidate and validate the project plan, team structure and overall effort/cost estimation for any proposal
  • Conduct required secondary research to support the proposal creation process and comparison of Tiger solution with existing products/solutions available in the market
  • Interact with project teams to understand high impact problems that are being solved through AI based solutions
  • Identify the solutions that can be developed as standard offerings and taken to multiple customers and own the creationand GTM for those offerings
  • Oversee development of solutions demo/prototypes in collaboration with SMEs in Data Science & Engineering
Contribute to enhancing CPG domain competency within the organization by leading focus groups, taking trainingsRequired Skills, Competencies & Experience:

  • Good Experience of DS/ML/AI techniques - when and why they are used and interpretation of results from a business viewpoint
  • High level understanding various activities under Data engineering and App engineering will be preferred
  • Understanding of various components in cloud platforms like Azure, AWS and how they are relevant in an integrated solution
  • Ability to translate high level business problems to an analytics problem statement
  • Ability to design analytics solution consisting of Data Science and Engineering componentsRole & responsibilities

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