Hiring on Behalf of a client -
Must have -
Some one who is not doing much of delivery management but focussed in Account growth
Experience in account management / Farming and managing existing portfolios of 4-5 Million in Analytics Space
Must have experience with Data Analytics, AI, Data Engineering, Predictive Data Modelling and Data Science.
Digital Transformation and IT services experience will NOT be useful experience for this role.
Overall 8-12 years experience
Experience in analytics and data engineering related sales
AI, Data science and digital analytics background
Available locations - NY / NJ
If you are passionate to work on unstructured business problems and data engineering programs leveraging data and excited about building, leading, and enabling a team of analytics and data engineering professionals toward that objective, we would like to talk to you.
As a client partner, you will be responsible for account management, client relationships, and account growth.
You will work on some of the latest applications of data science, data engineering, ML Engineering, and BI to solve complex business problems.
You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value.
You will collaborate with the client’s business stakeholders to understand key business questions, and challenges, and help develop a roadmap that identifies and prioritizes key initiatives.
You will be responsible for P&L for your account portfolios managing revenue and margin goals.
Requirements
8+ yrs experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data engineering programs.
Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
Ability to engage with CXO and VP / Director level stakeholders from the client’s team and with internal remote teams to define business problems and construct solution approaches in the areas of Pricing, Underwriting, Marketing, Distribution, Claims, and Operations.
Knowledge of domains like Financial Services or Supply Chain, Manufacturing, and Pharma.
Experience in the latest open-source cloud-based tech stack.
Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc. preferably in Insurance business context.
Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
Excellent communication (written and verbal) and presentation skills.
Ability to work with global teams, playing a lead role in communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management and expectation setting.
Education Qualification - Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field.
Flexible work from home options available.