Sr Project Lead-Data Engg

7 - 10 years

9 - 12 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Presales Engagement:

    • Lead presales activities for Data & Analytics opportunities, including client presentations, workshops, and solution demonstrations.
    • Collaborate with sales teams to understand client requirements and position relevant solutions.
  • Proposal & RFP Management:

    • Analyze RFPs/RFIs and draft comprehensive responses with innovative, value-driven solutions.
    • Develop tailored proposals highlighting differentiation and business impact.
  • Solution Design:

    • Create niche solutions for

      Data Modernization

      (Legacy to Cloud) leveraging platforms like

      Snowflake

      and

      Databricks

      .
    • Incorporate

      AI use cases

      into proposals to showcase advanced capabilities.
    • Ensure solutions cover

      AMS (Application Managed Services)

      and

      end-to-end implementation

      concepts.
  • Reporting & Visualization:

    • Demonstrate understanding of reporting tools and concepts such as

      Power BI

      and

      Tableau

      .
  • Thought Leadership:

    • Stay updated on emerging trends in Data & Analytics and contribute to internal knowledge sharing.

Required Skills & Qualifications

  • Experience:

    • Minimum 7 years in Data & Analytics presales; overall 9-10 years of professional experience.
  • Technical Expertise:

    • Strong knowledge of

      Data Modernization

      ,

      Cloud Platforms

      (Snowflake, Databricks), and

      BI tools

      (Power BI, Tableau).
    • Familiarity with

      AI use cases

      and ability to integrate them into solution proposals.
  • Presales Skills:

    • Proven track record in managing

      RFPs

      , drafting proposals, and creating differentiated solutions.
  • Soft Skills:

    • Excellent

      communication

      ,

      articulation

      , and

      presentation

      abilities.
  • Flexibility:

    • Ability to work in dynamic environments and collaborate with cross-functional teams.

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