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
More about this role
What you need to know about this position :
The Data Ingestion Lead should be able to build and lead a diverse team of individuals with a mix of Big data, Infrastructure, developers and backend engineers.
The candidate should be able to operate at the intersection of Infrastructure, Big Data, Storage, & Online Services and explore all aspects of a Data ingestion that collects, stores and serves large amount of information.
What extra ingredients you will bring :
Strong leadership and management skills
Strong communication and interpersonal skills
Strong analytical and problem-solving skills and passion for product development
Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders
Professional attitude and service orientation; team player
Ability to translate business needs into potential analytics solution
Strong work ethic; ability to work at an abstract level and gain consensus
Ability to build a sense of trust & rapport to create a comfortable & effective workplace
Education / Certifications :
Configure and develop job using Talend and Collibra
Program language knowledge like Python, and / or Java
Experience working with a variety of source systems (ERP, CRM, custom, on-prem, etc.) and types (databases, files, APIs, SaaS, etc.)
Hands-on experience in BI and Data Warehousing, with an emphasis on ETL / data ingestion in a cloud DW / data lake environment
Knowledge of distributed computing platforms like Kafka, Spark etc. is a plus.
Deep understanding of Data Analytics, Big Data, Storage, Compute & network infrastructures
Job specific requirements :
Lead multiple data ingestion projects and products to maintain and develop applications for both enterprise releases and smaller maintenance releases
Work closely with the business team, 3rd party vendors, and other internal IT teams to deliver projects on time
Lead framework-based data ingestion pipelines development to ingest data from a variety of sources into the cloud platform
Manage the data ingestion framework to easily extract and load data from various sources into data processing tools, data integration software, and cloud storage
Influence and guide strategy, execution and innovation for all aspects of data analytics
Experience in taking proactive actions to identify typical problems and issues during the normal course of work and solve them with minimum guidance
Define & design large scale distributed system that can be used for interactive as well as batch use cases
Develop cross-org partnerships with peer organizations; collaborate and address their data requirements
Engage with the open-source community to understand existing work and influence future roadmap
Ability to interpret and manipulate large data sets, data storage, ETL and data modelling
Proven experience in Data Analysis role with programming skills in SAS and Python
Good hands-on Experience with Data warehouse implementation
Translate customer and technical requirements into detailed technical plans, architecture, and design
Knowledge of CPG customer planning, supply chain planning, delivery and collection processes as well as the data sources utilized across different functions and BUs
Evaluate upcoming open-source technologies for distributed computing and integrate such that our platform improves and scales better
Interact with infrastructure, business and data teams to produce client requirements for next generation product development
No Relocation support available