Director, Data & Analytics, AMEA

at  Mondelz International

Job Description

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

AMEA region is one of the fastest growing regions for Mondelēz with a revenue of $6B+ and 10K+ potential data & analytics users. Data & analytics is a critical enabler for growth across the markets.

• As a D&A leader for the region, you will lead crafting Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities at scale across AMEA 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.
• The D&A function has Data Management, Analytics Products and Data Science resources which should be maximized at the service of the AMEA 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 other markets that could benefit from those, Search and reapply from other regions will be essential.

Creating value from business-driven data and analytics initiatives at scale. An important task for the AMEA 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 regional and BU leadership teams to support their data driven vision, strategy and operating models as well as influence & leverage broader D&A teams to deliver the roadmap for AMEA.
The role will lead analytics delivery for regionally 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. Given the span of AMEA, it will be crucial to have the ability to switch between a bird’s eye view, empowering teams as well as to get into the details when necessary to support the teams and make decisions.
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.