Mondelez - Director - Sales Analytics

Purpose of the Role:

- In this role you will have the opportunity to make a big impact on our business performance as you support the data strategy and lead the ideation, development and execution of custom models, algorithms and applications that enable business growth and revenue generation.

- Working in close partnership with the business leadership team, you will develop the strategic vision & roadmap for data and analytics in revenue growth management, retail execution and sales data domains, in line with the Mondelez commercial agenda.

- You will also enable and evolve analytical products as part of the analytics strategy to support key business decisions, drive business improvements and deliver business value. Identify opportunities to leverage advanced analytics to support Sales digitization.

How you will contribute:

1. Collaborate with Global Sales MDS, Global RGM and Sales CoE's, Regional teams to create the analytics strategy.

2. As part of the strategy, innovate enabling new sales processes or drive superior value through technological advancements and new data sets.

3. Scale proven products through reusable assets (data products, product playbooks), DevOps tool chain and co-create RACI's with different D&A functions eg. Regional D&A, Application support, Data as a service Team, Infrastructure and Architecture.

4. Accountable for the implementation and adoption, value realization of analytical products end-to-end and their success over the product life cycle, with technical debt reduction and simplification a key objective.

5. Accountable for creating sales data domains with internal and external data sets, driving reusability supporting self service reporting, AI models and enterprise applications. Key objective would be to increase data coverage, usage, access and literacy in the organization.

6. Lead a product-oriented delivery model team consisting of product managers, product owners, data scientist, architects, and engineers.

7. 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.

8. 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.

Experience & Background Recommendation:-

- 'A minimum of 15 years of IT/IT facing and business/industry work experience, with experience in managing cross-functional teams or projects. Deep experience of sales execution and/or Revenue Growth management required.

- Minimum of 5 years of analytics experience, as well as traditional business intelligence experience, within IT or business function.

- Requires strong leadership and alignment defining right priorities for the team and removing barriers to execution as needed.

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 Sales 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.