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Sigmoid

Senior Management Consultant (CPG / Supply Chain)

Job Posted 13 Days Ago Reposted 13 Days Ago
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Bengaluru, Karnataka
Senior level
Bengaluru, Karnataka
Senior level
As a Senior Management Consultant, you will lead data-driven initiatives in the CPG sector, focusing on analytics, stakeholder management, and client solutions. Responsibilities include executing analytics roadmaps, engaging with clients, and defining business problems with strategic recommendations.
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Who are we?

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

 

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid?

  • Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
  • Despite being continuously challenged,  you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo
  • Vibrant inclusive culture of mutual respect and fun through both work and play


Sr. Management Consultant – Consumer Goods & Retail (F&B)

(Management Consulting Team, India)

Roles and Responsibilities:

  • Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams
  • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI
  • Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives
  • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
  • Perform a role that involves a combination of hands-on contribution, customer engagement and team management.



Mandated Skills:

 

  • Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIM) preferred
  • 6-9 years of professional work experience in prominent CPG analytics domains like Consumer Behavior, Demand Planning, Pricing Optimization, Promotions Planning, R&D etc.
  • Minimum 2-3 years exposure in Foods & Beverages retail ecosystem
  • Excellent research, analytical, and numerical skills
  • Proven exceptional problem-solving analytical skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
  • Ability to develop and articulate strategic recommendations based on rigorous data analysis
  • Should have developed new consulting business capabilities within target Industry verticals
  • Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, architecture assessments etc.
  • Demonstrated sustained client relations management experience at a C-suite level or operated at a senior management level in the industry role

Desired Skills:

  • Understanding of applications of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams
  • Any hands on quantitative experience with analytical tools
  • Providing required inputs to sales, and pre-sales activities
  • A self-starter who can work well with minimal guidance

Top Skills

Artificial Intelligence
Data Engineering
Dataops
Predictive Analytics

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