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Data And AI Engagement Lead

  • Source: LinkedIn
  • Incedo Inc.
  • On-site
  • Three Rivers
  • Full-Time
  • Senior

Job Description

Profile Brief:

Incedo is a high-growth Digital, Data & AI firm, that brings in a unique combination of Consulting, Data/AI, and Digital Technologies to solve complex business problems for its global set of marquee clients.

Data &AI Engagement Leader is a leadership role to drive and significantly impact the client engagement and growth momentum for Incedo. Data & AI Engagement Leader is expected to be accountable for key business metrics – Revenue, Gross Margin, and New Business penetration, for a portfolio or large Wealth Management client/s. The Data & AI Engagement Partner is expected to drive and grow customer engagements, consult clients in defining solutions to key business, data and AI problem areas, drive project deliveries, build an analytics team, and develop strong capabilities/solutions in the Wealth Management domain.

The Data & AI Engagement Partner will be expected to drive the thought leadership and strategy for pioneering and implementing advanced analytics and digital solutions to solve business problems

Data & AI Engagement Partner will also be responsible for partnering with India delivery leads, Data/Tech architects, and other Incedo practices to deliver high-impact solutions to the clients. The candidate is expected to bring strong domain expertise in Wealth Management, analytics/machine learning best practices, solve client business problems, and identify new opportunities for a client.

Education Bachelors/Masters (Engineering/ Commerce/ Economics/Maths/Stats/MBA) from a top-tier university Experience 12+ years of experience in Data /Data Science/Analytics sector in a Client Management/ Consulting. 7+ years of experience in working for/consulting with HiTech/ISV clients.

Job Description

Client GTM, Commercial Growth and Profitability

Ability to drive commercial and delivery excellence by driving operational and commercial metrics - Revenue, Gross Margin, Net Margin

  • Create and drive Incedo’s Data & AI sales strategy and overall GTM for key Wealth Management clients
  • Be accountable for the execution of the GTM strategy/ plan and deliver on key business metrics – net new Digital sales revenue

Develop long-term sales pipeline to increase Incedo’s market share in Digital, Data & AI Services and solutions.

Be accountable for achieve a define Gross Margin, building and ensuring high quality, profitable Data & AI business.

Client engagement & development

Establish a professional, working, and consultative, relationship with the client, including the C- level for mid-to-large accounts by developing a core understanding of the unique business needs of the client within their industry.

  • ability to manage client stakeholders across all levels
  • exposure to client management, presentations, engagement/program management, etc.
  • experience in new opportunity identification, developing solution frameworks and proposals
  • in client communications for all important functions including data understanding/ exploration strategizing solutions, etc.
  • oral, written, power point presentation skills

Problem Solving and Data & AI Solutioning:

  • problem solving skills with ability to translate a vaguely defined business problem into digital and analytical solution framework
  • to understand and analyze business metrics. Ability to influence business/tech stakeholders
  • thinking skills with an ability to deal both at high level and at micro level at any point
  • in designing end-to-end Data, AI and Digital solutions integrating Data Science, Data Engineering and Data Visualization capabilities
  • analytical, mathematical, logical, interpersonal, team management, and client management skills.

Domain Expertise:

  • experience for the HiTech and ISV clients , solving a wide array of business problems
  • understanding of key analytics use cases for HiTech/ISV clients such as Customer Experience and lifecycle management, Sales and Marketing, Personalization, Predictive Maintenance, Support Ops Analytics etc.
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