Data Presales Head

Role: Data Presales Head

Location: India

Strong background in Data & analytics with a proven track record of delivering successful presales engagements. This role requires excellent communication skills technical expertise and the ability to work collaboratively with clients and internal teams.

Key Responsibilities
Collaborate with the sales team and Customers to understand client requirements.
Conduct product demonstrations presentations and workshops to showcase the capabilities of our data & analytics offerings.
Provide technical expertise and support during the sales process including responding to RFPs and RFIs.
Develop and deliver compelling proposals to address client needs.
Stay up to date with the latest trends and advancements in analytics and AI technologies.
Build and maintain strong relationships with clients partners and internal stakeholders.
Assist in the development of marketing materials and sales collateral related to Data & analytics.
Participate in industry events conferences and webinars to promote our Data & analytics capabilities.

Qualifications
Bachelors degree in Computer Science Data Science Engineering or a related field. A masters degree is a plus.
Minimum of 8 years of experience in analytics AI or a related field with a focus on presales activities.
Strong understanding of analytics and data technologies including data integration data management governance data architecture MDM Data Quality and Metadata Management.
Knowledge in programming languages such as Python SQL.
Experience with analytics and Analytics platforms and tools (e.g. Power BI Microsoft Fabric Tableau etc).
Excellent communication and presentation skills with the ability to convey complex technical concepts to non-technical audiences.
Strong problem-solving skills and the ability to think creatively to develop innovative solutions.
Ability to work independently and as part of a team in a fast-paced dynamic environment.
Willingness to travel as needed to meet with clients and attend industry events.

Preferred Qualifications
Experience in a consulting or client-facing role.
Knowledge of cloud platforms (e.g. AWS Azure Google Cloud) and their analytics and AI services.
Certifications in Data analytics technologies (e.g. Microsoft Certified: Azure AI Engineer Associate Google Cloud Professional Data Engineer Snowflake Associate Databricks Associate).