Data & Analytics Lead, India

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.

How you will contribute

You will:

• Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvements
• Identify and incubate best-in-class external partners to drive delivery on projects
• Work on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
• Build a professional and reliable team
• Run the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver`

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

• Ability to influence the business agenda and make recommendations to senior leaders
• Leadership experience in best-in-class analytics practice roles
• Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of analytics techniques to create business impacts
• Proven people leadership experience

Role & Responsibilities:-

As the D&A Analytics lead for India, you will lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.

• Lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities for India to deliver strong business value across all levels of the organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.
• The D&A function in India has Data Management, Analytics and Data Science resources that lead on ground activation of the BU’s agenda, whilst partnering across regional (AMEA) domain leads and global central teams to deliver against business priorities – this requires strong collaboration and influencing skills to drive adoption, relevancy and business impact with speed.
• Present, share insights with right storytelling at key leadership forums in business language
• Building capability within the teams including leading, coaching, guiding and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes.
• Minimizing complexity, establishing right ways of working to accelerate path to value by being choiceful and creative as well as having a growth mindset everyday will be essential.
• Systematic, active dissemination of AMEA D&A Solutions into India where applicable and feasible.
• Elevate India innovations to the region, helping domain leads refine innovations as regional / global capabilities that can travel.

Creating value from business-driven data and analytics initiatives at scale. An important task for the India D&A leader is to support the business and other stakeholders in their solving their business problems via relevant data & analytics. This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact.

Raise the level of data coverage, usage, easy access and literacy in the organization. To become data driven the organization needs employees who can identify, understand and speak data. It will be critical to understand wide variety of diverse and most important data sources and constructs, analytical methods and techniques in order to drive analytics at scale whether it is bespoke analytics scaled solutions or minimum viable products or self service by employees including analysts, data scientists or functional employees at large. Activities include identifying key datasets, building reusable data assets, education and coaching of the employees to become more “data-savvy” and facilitating data-centric business thinking while accelerating pervasive and bespoke analytics.

Helps uncover and translate business requirements and stakeholder needs. This translation needs to be done in such a way that the technical specialists in the D&A team can understand (Data Management, Analytics Products, Partners and / or Data Science resources). This requires an understanding of both the business objectives, goals, and domain expertise, as well as data, analytics and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication. It will be critical to interact and build trust with India BU leadership team to support their data driven vision, strategy and operating models as well as influence & leverage broader D&A teams to deliver the roadmap for India.

The role will lead analytics delivery for India delivered initiatives & BI development (reports, dashboard, visualization) and/or data governance (stewardship best practices).

Coach, nurture and build a agile and highly inspired team with strong growth mindset. This requires a strong leader with empathy who can listen, guide and inspire the team while growing their capability, defining right priorities and removing barriers to execution as and when necessary.

Managing and overseeing funds, securing the necessary funding to drive analytics agenda as well as tracking spends judiciously and negotiating with partners to ensure money is spent on right priorities as well as manage typical project risks with right interventions proactively.

Data & analytics skills

Must have a good understanding of the concepts, methods and techniques used:

• Analytics, for example diagnostic, descriptive, predictive and prescriptive.
• AI, for example machine learning, natural language processing.
• Data management, for example data integration (ETL) or metadata.
• Data architecture, for example the difference between data warehouse, data lake or data hub.
• Data modelling, for creation of right reusable data assets.
• Data governance, for example MDM, data quality and data stewardship practices.
• Statistical skills, for example understanding the difference between correlation and causation.

Technology skills

Good understanding of the tools and technologies in the D&A team:

• Programming languages like SQL, Python or R and notebooks like R Studio or Jupyter.
• Data integration tools like Informatica or Talend.
• Analytics and Business Intelligence tools like Microsoft Power BI or Tableau.

Soft skills

• Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders.
• Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable.
• Facilitation and conflict resolution, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
• Creative thinking and being comfortable with unknown or unchartered territories, for example framing new concepts for business teams and brainstorming with business users about future product and services.
• Teamwork, for example working with both business domain teams as well as D&A teams and MDS stakeholders.
• Collaboration, for example fostering group problem solving and solution creation with business and technical team members.
• Relationship management, for example creating relationships and builds trust with internal and external stakeholders quickly.
• Storytelling, for example by creating a consistent, clear storyline for better understanding.
• Influencing, for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors.

Domain skills

Must have a good understanding of the business process and associated data:

• Business Acumen, for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language.
• Business Process Transformation, for example ability to understand how D&A can help redesign the way work is done.
• Business data, for example the structure, ownership and use within an organization.

Other skills

• Agility, Growth mindset will be crucial.
• Project management capabilities including ability to manage risks, for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities.
• Vendor negotiation and effort estimation skills, for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported.
• Business case development, for example to help develop support for the experimenting selected use cases or measure the impact/business value created. For this the role can collaborate with business analysts in sales, marketing, RGM, finance or supply chain.
• Decision modelling, for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models.
• UX/design, for example by creating products and visualizations that are easy to work with and support the activities required by the end users.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Analytics & Modelling

Analytics & Data Science