Who we are

As a global consulting partnership in more than 40 countries, our people make us who we are. We’re individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Over the years we’ve fostered a culture in which we are united by shared values—passion, solidarity, generosity, curiosity, and boldness—and these come alive in the work we do and how we do it.

Together, we know our people are our difference—for our clients, our colleagues, and our communities. That’s why we take pride in being individual and inclusive and create a place where everyone can bring their full self to work.

The Kearney Analytics Practice, teams with companies across industries applying advanced analytics to identify opportunities, provide strategic insights, and deliver value. Kearney Analytics consultants:

- Engage directly with clients

• Translate strategic challenges to analytics solutions, problem solve with clients to identify the underlying root problem, and determine the best data enabled, analytical approaches to fit their needs.
- Craft business insights and prove value by applying advanced analytics and data science (e.g., predictive modeling, machine learning, etc.) .
- Uplift client’s data and analytics capabilities, addressing change management and driving transformation.
- Collaborate with technology colleagues who advise, design, and deliver scalable solutions .
- Work across industries, including Retail, Consumer, Health, Chemicals, Automotive, Aerospace, and more.
- Work across functions and domains such as Strategic Operations, Strategic Planning, Top-Line Growth, Marketing, and more.
- Work across solutions such as supply chain design, inventory optimization, growth opportunity identification, marketing optimization, category management, retail footprint and format optimization, demand sensing, and more.

Make your mark as an Analytics Manager at Kearney Are you ready to:

— Be an Analytics Consulting Manager!

— Lead a dedicated and diverse set of people to offer honest advice and practical guidance to our clients?

— Continue learning and growing by taking advantage of every opportunity available to you?

— Join a company that prides itself on its shared values and inclusive culture?

— Be the difference and make it happen?

If so, we are ready to help you:

Discover. Collaborating with our clients across a range of industries and service practices, our people are always learning. At Kearney, you will broaden your knowledge and experience.across a breadth of areas, no matter your role. Being rooted in expertise, we know our people deserve opportunities to go places and further their exposure to the business world.

Grow. We believe in the power of apprenticeship. At Kearney, you work alongside colleagues who help you be the best you can be. Through both our structured programs and apprenticeship model, you will continue to learn and develop every day. After all, we are here to help you not just perform but to thrive in your career.

Be yourself. At Kearney, we give you the freedom to contribute creatively while you also pursue your dreams. We want you to bring your whole self to work and to find joy in what you do. That’s why we support our people when they want to let their uniqueness show and offer personalized opportunities including tuition support, flexible work programs,



and externships.

What you'll do...

As a manager, you will operate at the intersection of operations / supply chain and advanced analytics, including the use of optimization, simulation, and predictive analytics to lead the development of various interesting and time-bound use cases and solutions for our clients. This is a high impact and high visibility role within the organization with expectations to deliver immediate results.

Responsibilities include

- Lead and execute regional / global projects from ideation to solutioning including crossfunctional project management, data gathering and transformation, analysis and modeling, and communication of insights and recommendations.
- Demonstrate a high degree of originality and creativity when developing solutions to improve existing business processes within supply chain using methods such as statistical analysis, regression modeling and mathematical optimization.
- Work independently in a client setting while ensuring deadlines are met and data output is accurate and relevant for our clients. Must also be able to deal with ambiguity and make independent decisions about what data and approach is best for the task at hand.
- Lead the building of scalable and complex supply chain models and processes to optimize supply chain strategies with goals to deliver excellent customer experience while balancing operating cost and asset efficiency.
- Identify areas of opportunity and drive results partnering with cross functional partners, Kearney data engineering teams, and external supply chain platform vendors
- Develop relationships with Kearney functional and industry teams to identify best practices, solicit input/data, coordinate inter-disciplinary initiatives and to gather support for recommendations
- Obtain alignment from relevant business partners and management support for projects and lead discussions to drive change
- Effectively organize, assemble, and use all available resources when given a project to ensure success.
- Communicate clearly and persuasively via email, verbally, and presentations.

Potential projects can include (but are not limited to):

- Providing guidance to Supply chain executives on designing future-state end-to-end supply chain analytics use cases across plan, make, deliver, source including decisions on product portfolio design, the manufacturing or distribution footprint, allocation of manufacturing capacity, supply chain routing, etc.
- Opening, closing, or repurposing retail outlets subject to the specific customer footfall.
- Giving client executives transparency on key metrics that matter across the supply chain (Point of Sale, Orders, Days Inventory, OEE, OAE, DC utilization, UFR, OTIF…) extracted and calculated from core ERP figures and visualized in management dashboards.
- Using data from machines in a manufacturing shop-floor to predict failures / process deviations and thereby develop predictive algorithms to optimize maintenance schedules, downtime etc.




- Optimizing inventory across different tiers of the supply chain network to maximize customer service and minimize lost sales while evaluating tradeoffs with working capital.
- Developing optimized multi-stop vehicle routes with constrained time windows and delivery frequency to design last mile vehicle fleets.
- Developing optimization logic and tool to determine truckload lane strategy for outbound transportation balancing cost and SLA requirementsDevelop analytical models and logic to categorize and predict Unit Fill Rate miss causes in order to suggest proactive actions for improvement.
- Develop granular segmentation and demand forecasting algorithms to predict future customer demand.
- Determining suitable segmentations and forecasting techniques to predict future customer demand.

Who you are

Insightful. Inquisitive. Cooperative. But we’re also looking for analytical problem solvers, and who are always unapologetically themselves. In addition, we look for individuals with the following experience or qualities:

- MBA from a tier-1 institute and 6+ years of post-MBA work experience in supply chain / advanced analytics
- At least 1-2 year of prior work experience as a consulting manager/project lead
- Analytically inclined and loves solving problems
- Experience with capabilities such as:

o Predictive modeling o Machine learning o Data visualization o Sentiment analysis o Optimization modelling

- You should be willing to travel to global/regional client locations when required
- Experience in leading supply chain optimization and predictive models using opensource platforms (e.g., Python, R).
- Experience in Operations Research (Simulation, Mathematical Optimization) and Predictive modeling, with a strong understanding of operations and supply chain
- Experience in leading projects involving commercial and off the shelf modeling tools (e.g., Supply Chain Guru, AIMMS, CPLEX, Gurobi, etc.).
- Experience in supply chain domains and related information systems – distribution/transportation, sourcing, planning, manufacturing and inventory management.

Kearney continues to be a diverse and inclusive workforce and has multiple programs in place to support employees including, but not limited to: parental leave, profit-sharing and flexible work programs.

Equal Employment Opportunity and Non-Discrimination:

Kearney prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our colleagues, and our clients. Kearney aims to build diverse capabilities to help our clients solve their most mission critical problems.

Kearney is committed to building a diverse, unbiased and inclusive workforce. Kearney is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices.

Members of communities historically underrepresented in consulting are encouraged to apply.

📌 Manager – Ops SC Analytics (Mumbai)
🏢 Kearney
📍 Mumbai