03/01 Recruitment Team
Talent Acquisition at Thoucentric Technology Private Limited

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Thoucentric - Project Manager - Analytics - Retail/CPG Domain (5-10 yrs)

Bangalore Job Code: 649690

Incumbent Should possess following skillset

- Work collaboratively with the client project manager, sales & marketing teams, customer development teams, S&OP teams, and the technology team to implement the overall solution and oversee the analytical approaches and methodologies and presents insight and recommendations to management for decision making and strategic planning

- Should have prior exposure to CPG & Retail domains

- Expected to have a mix of analytical & functional skills and strong interpersonal skills to work with business requirements and develop them into a useable and scalable solution

- Adept at working hands-on with a team of business analysts, data scientists and machine learning experts to provide insights into business performance and suggest area and methods of improving operations

- Exposure to various modeling concepts/ algorithms, used in modeling supply chain problems

- Present complex information and data in an uncomplicated, easy-to-understand way - "breaks it down" to suit the audience

- Be the liaison between senior business stakeholders and technology teams to make programs successful from a business perspective.

- Ensure the successful completion of quality product and solution implementations utilizing strong leadership, project and resource management skills

- Creation of business blueprint documents and validate design by conforming to best industry practice

- Hands on experience in establishing and running large initiatives through structured programs

- Preparation of Status reports, Project plans, Activity Plans, Cadence Calls etc. for robust project management as and when required

- Responsible for issue recognition, identification and application of appropriate resources necessary to resolve issues, status reporting, and overall management of issues through resolution

- Own the project plan's delivery on-time and in scope to the satisfaction of all stakeholders

- Hands on experience in establishing and running large initiatives through structured programs

- Ability to understand and interpret the programs and linking the same with data to create meaningful reports

- Define and document the Project Objectives, Scope, Assumptions, Risks and Mitigation

- Develop a high-level Project chart with milestones and estimated timelines

- Detail the resources, points of contact, execution method and support mechanism

- Develop a detailed project plan with tasks, resources, time-lines, status tracking and progress tracking

- Ensure resource availability, allocation and tasks are completed on time to the satisfaction of stakeholders

- Create and manage periodic reporting of project execution status and other trackers in standard accepted formats

- Own the project plan's delivery on-time and in scope to the satisfaction of all stakeholders

- Perform periodic risk assessment and minimize risks through appropriate planning and escalation

- Maintain a comprehensive project documentation that is reusable

- Measure and communicate project performance using standard techniques and measures

Educational Qualifications:

- Bachelors/Masters/Ph.D. in Economics, Statistics, Engineering, Computer Science, Management or academic equivalent

Required Skills:

- Adept & conversant in CPG or Retail domains

- Experience is different aspect of CPG/Retail businesses like Sales & Marketing, Channel Management, Customer Development, Go to Market strategies etc.

- Excellent communication and interpersonal skills to interact with internal and external stakeholders with emphasis on follow through and reporting

- In-depth technical knowledge and experience in one or more areas: Machine Learning, AI, Predictive Analytics, Prescriptive Analytics etc.

- Deep working knowledge on Machine Learning with emphasis on Time Series Modeling, Classification and Regression etc.

- Exposure to algorithms such as Linear Regression, Logistic Regression, CART, CHAID, Random Forest, SVM, XG Boost, Neural Networks

- Data management and statistical modelling skills: R, Python, SAS, SPSS Modeler, MS Azure Machine Learning, AWS Machine Learning & SQL

- Excellent communication and interpersonal skills to interact with internal and external stakeholders with emphasis on follow through and reporting

- Meticulous planning skills with attention to detail and multi-tasking skills

- Strong working experience in Microsoft tools including good presentation skills

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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