Director, Field Performance Management
- Deliver one or more Data & Analytics Products to Functions/ Regions/ Brands
- Supervise Data Product development and testing on a daily basis, manage dependencies across departments and functions, ensure on time and within budget delivery, adhere to high quality standards
- Establish business cases in collaboration with teams and stakeholders, formulate plans, estimate resources and identify timing for execution
- Define project organization & methodology (internal vs outsourced, agile vs waterfall)
- Write D&A Product Requirements
- Documentation listing features (both back and front end) , metrics/ KPIs, data sources, detailed design
- Ensure design of solution includes data architecture, user interface and user experience while meeting business requirements
- Build sustainable and reusable data assets that can be leveraged for self service and other initiatives. These assets will include, but not limited to: supply chain, syndicated market data, consumer data, digital media spend etc.
- Coordinate sign offs with user representatives/ stakeholders
- Facilitate transition to support teams Budget Management
- Manage project budget and changes
- Track project burn rate and report team hours and expenses on a weekly basis
- Update project forecasts on a weekly basis
- Proven track record and experience in delivering products within large scale organizations
- Ability to translate business problems into analytical specifications and requirements & efficient solutions designs
- Proactive leadership to build strong rapport and relationship with cross functional users and stakeholders as well as with on shore and off shore resources
- Ability to quickly analyze various data sets and identify their complexity, gaps and relations with other data assets (Strong data analysis skills)
- Strong SDLC and project management experience. Comfortable working with Agile methodologies
- Comfortable working in matrixed organization and balancing needs of multiple stakeholders
- Advanced knowledge in Marketing (Consumer & Digital Marketing, Syndicated data, Clienteling)
- Excellent organization and communication skills coupled with a rigorous working process Technical Skills and Qualifications
- Proficient with Enterprise Cloud platforms (DataLake, DataWarehouse) especially Azure and its main components (Azure Data Factory, Synapse) as well as Databricks
- Solid knowledge in SQL, Python, PySpark and data modeling
- Experience in leading visualization tools e.g. Tableau, Power BI
- Experience in Machine Learning is a plus
- Bachelor's degree in Computer Science, Information Technology or related field or equivalent experience.
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