Service Line Specialist-AIML, Analytics Data

About the Role

Key Responsibilities

• Forge relationships with VP/CXO decision makers across IT and business teams.
• Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for cloud services.
• Run end-to-end lead generation, sales, and RFI/RFP processes for specific solutions.
• Drive collective focus with multiple teams on larger multi-service line deals.
• Drive revenue by prioritization, structuring, and leading digital engagements.
• Work closely with the practices and delivery organization to co-define and drive transformation strategy and service offerings.
• Own and deliver on revenue and Total Commercial Value targets.
• Envision and build new opportunities within existing and new businesses.
• Lead financial and contract terms, conciliations, and outsourcing discussions.
• Counsel account leadership and delivery leadership by highlighting risks and issues related to the engagements.
• Develop and implement account growth strategy and business plans that coordinate with account teams to integrate with the larger growth plan.
• Work in a matrix organization to achieve prospecting and other sales management goals.
• Run operations and maintain process and system hygiene to enable system-oriented key performance metrics and measurement.

Requirements

• Good experience in a business growth / sales role in data management, analytics, and AI across multiple industries especially Banking and Financial Services.
• Strong exposure to selling Data solutions on Azure, AWS, and GCP platforms with understanding of Data warehouse concepts like Cloud modernization, Enterprise data governance analytics, and reporting.
• Sound knowledge on Snowflake, Databricks, Informatica, and other leading Data Products.
• Minimum 5-7 years in Presales Data & Analytics Solutions and Services and overall 10+ years.
• Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to the C-Suite.
• Experience with large-scale consulting and program execution engagements at the data analytics and AI space.
• Ability to appreciate and work on 360-degree aspects around a data and insights lifecycle across the business value chain.
• Strong technical skills with ability to find technical solutions to business problems and engage the potential customer with 'consultative selling' is essential.
• Excellent oral and written communication skills and executive presentation and persuasion skills are required.
• Ability to interface at all levels of an organization.
• Consultative selling experience is a must.
• Knowledge of industry trends, customer pain points, potential opportunities in areas like cloud, AI/ML, modern data architecture, data governance, IoT, and intelligent automations is highly desirable.

Nice to Have

• MS or MBA degree preferred.
• Knowledge in enterprise data management architecture and principles, master data management, data governance, and data quality on cloud hyperscalers (Azure, AWS, GCP).
• Knowledge in data modernization, cloud, data migration, and digital transformation.

Qualifications

• Minimum 5-7 years in Presales Data & Analytics Solutions and Services.
• Overall 10+ years of professional experience.

Benefits & Perks

• Medical/Dental/Vision/Life Insurance.
• Paid holidays plus Paid Time Off.
• 401(k) plan and contributions.
• Long-term/Short-term Disability.
• Paid Parental Leave.
• Employee Stock Purchase Plan.
• Discretionary annual incentive program and stock awards, based on performance.