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Product Solutions Manager

Product Solutions Manager

AIS business solution
1-6 Years
Quick Apply
  • Posted a month ago
  • Over 100 applicants have applied

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Client-Centric Discovery Ideation

Partner with the Sales team to engage clients and prospects, uncovering opportunities where data products can solve real business problems.

Solution Design Business Case Development

Translate identified opportunities into clear product concepts and value propositions. Lead the design of scalable data solutions tailored to client needs and define pricing strategies that balance client ROI with company growth.

Cross-Functional Collaboration Execution

Work closely with internal technology and data teams to bring concepts to life from solution architecture through development, testing, and deployment.

Ownership of Product Lifecycle

Oversee the full lifecycle of data product initiatives, including road mapping, market launch, feedback integration, and continuous improvement.

Strategic Partnering

Serve as a thought leader on how data can be turned into high-value products, helping shape the future of our data portfolio.

SUPERVISORY RESPONSIBILITIES:

This position has supervisory responsibilities.

LANGUAGE REQUIREMENTS

Required English Ability Level Business Fluent Required Hindi/Gujrati Ability Level Business Fluent

QUALIFICATIONS:

  • Proven track record of discovering client needs and designing scalable data products or services.
  • Demonstrated experience working closely with technology teams (engineers, data scientists, architects) to build and launch products.
  • Ability to create business cases , including pricing models and return-on-investment (ROI) analysis.
  • Strong client-facing skills comfortable leading discovery sessions, solution workshops, and product demos.
  • Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.
  • ownership and delivery
  • Bachelor s degree in business, Computer Science, Data Science, Engineering, or related field.

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