Thoucentric - Project Manager - Analytics - Retail/CPG Domain

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