Title: Data Analytics Sales Head
Job Description
Background to the role:
The Data, Analytics and AI Executive role brings capability expertise and business acumen in working with client journey in Data, Analytics and AI. You are a strong leader in how you design, transform, optimize, and deliver across integrated solutions.
Key Responsibilities:
• At least 10+ years of enterprise experience in Data Platform or Data Engineering or Business Intelligence or Advanced Analytics
• 2+ years of experience in modern Cloud Data Platforms- like Snowflake or Google Cloud Platform or AWS or Azure
• Experience in leading large data / analytics transformation program
• Build Strong Customer Relationships and Credibility as a thought leader
• Engage with the CDOs / CXOs and business owners to influence Data / Analytics Strategy
• Collaborate closely with Global teams to develop proposals, presentations and proactively recommend strategies to grow data / analytics business in existing & new logo accounts.
• Work with Account / Sales teams to be part of the pre-sales process with clients and provide data & analytics subject matter expertise throughout the opportunity lifecycle from initial qualification to closure of the deal
• Provide thought leadership & transformation recommendations in various technology areas.
• Position and articulate Data, Analytics and AI service offerings to clients
• Able to execute short term and midterm strategic consulting projects, assessments, POC/pilots, map solutions to client business processes, and develop value proposition and business case
• Past experience in positioning and delivery of large data transformation programs
• Understanding of technology and vertical platforms (at least one of the industry Banking & Financial Services, Insurance, Hi-Tech, Manufacturing, Energy & utilities) in order to strategize & craft solutions (along with pre-sales teams) to match customer needs
• Self-starter that can work both as an individual contributor and team seller
Qualifications and Expectations
• Consulting Experience: $5-$10M revenue in Data, Analytics & AI engagements
• Compensation will be mix of base and variable pay based on results
• Role will be a mix of delivery 50% and sales 50%
• Significant proven large deal experience, including winning and transitioning the deal to delivery.
• Education: Bachelor’s degree
• Ideally has 15+ years of relevant business experience gained within a large Consulting or SI organizations as either a consultant and/or sales professional
• Must possess deep Data or Analytics or AI experience and be considered as a subject matter expert.
• Client orientated possessing a strong commercial and business acumen
• Strong presentation and facilitation skills; with the ability to structure and facilitate workshops and develop business cases for large deals
• Actual multi-regional or multi-organization experience is a key success factor, with demonstrated capacity to operate and thrive in a multi-cultural environment.
• Outstanding communication (written and oral), collaboration, flexible, results oriented, interpersonal and leadership skills
• Should be able to work with and manage multiple stakeholders – internal and external.
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Background to the role:
The Data, Analytics and AI Executive role brings capability expertise and business acumen in working with client journey in Data, Analytics and AI. You are a strong leader in how you design, transform, optimize, and deliver across integrated solutions.
Key Responsibilities:
• At least 10+ years of enterprise experience in Data Platform or Data Engineering or Business Intelligence or Advanced Analytics
• 2+ years of experience in modern Cloud Data Platforms- like Snowflake or Google Cloud Platform or AWS or Azure
• Experience in leading large data / analytics transformation program
• Build Strong Customer Relationships and Credibility as a thought leader
• Engage with the CDOs / CXOs and business owners to influence Data / Analytics Strategy
• Collaborate closely with Global teams to develop proposals, presentations and proactively recommend strategies to grow data / analytics business in existing & new logo accounts.
• Work with Account / Sales teams to be part of the pre-sales process with clients and provide data & analytics subject matter expertise throughout the opportunity lifecycle from initial qualification to closure of the deal
• Provide thought leadership & transformation recommendations in various technology areas.
• Position and articulate Data, Analytics and AI service offerings to clients
• Able to execute short term and midterm strategic consulting projects, assessments, POC/pilots, map solutions to client business processes, and develop value proposition and business case
• Past experience in positioning and delivery of large data transformation programs
• Understanding of technology and vertical platforms (at least one of the industry Banking & Financial Services, Insurance, Hi-Tech, Manufacturing, Energy & utilities) in order to strategize & craft solutions (along with pre-sales teams) to match customer needs
• Self-starter that can work both as an individual contributor and team seller
Qualifications and Expectations
• Consulting Experience: $5-$10M revenue in Data, Analytics & AI engagements
• Compensation will be mix of base and variable pay based on results
• Role will be a mix of delivery 50% and sales 50%
• Significant proven large deal experience, including winning and transitioning the deal to delivery.
• Education: Bachelor’s degree
• Ideally has 15+ years of relevant business experience gained within a large Consulting or SI organizations as either a consultant and/or sales professional
• Must possess deep Data or Analytics or AI experience and be considered as a subject matter expert.
• Client orientated possessing a strong commercial and business acumen
• Strong presentation and facilitation skills; with the ability to structure and facilitate workshops and develop business cases for large deals
• Actual multi-regional or multi-organization experience is a key success factor, with demonstrated capacity to operate and thrive in a multi-cultural environment.
• Outstanding communication (written and oral), collaboration, flexible, results oriented, interpersonal and leadership skills
• Should be able to work with and manage multiple stakeholders – internal and external.
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