Lead the strategy, development, and execution of a data product that supports workforce planning, forecasting, reporting, and analytics across Finance.
Requirements
- Demonstrated understanding of workforce data, headcount forecasting, reporting and analytics use cases and nuances.
- Product management, data analytics, or financial analytics experience.
- Strong understanding of data management and analytic tools.
- Experience with data consumption tools such as Databricks, Alteryx, Tableau, OLAP or similar tools.
- Familiarity with programming languages such as SQL or Python.
Responsibilities
- Develop and execute a data product strategy for that aligns with business objectives.
- Lead cross-functional teams in the design, development, and implementation of the data product, ensuring timely delivery and high-quality outcomes.
- Collaborate with stakeholders to identify data needs and translate them into product requirements and roadmaps.
- Manage the lifecycle of data products, including ideation, requirement refinement, development, testing, launch, and ongoing enhancements.
- Ready data for AI tools by identifying opportunities to better describe and / or curate the data.
- Work closely with production and reporting teams to ensure data integrity, security, and compliance with the Firm’s standards.
- Communicate product vision, strategy, and progress to stakeholders and senior leadership.
Other
- At least 5yrs of experience with Bachelor's degree in Business, Finance, Data Science, or a related field.
- Excellent project management skills with the ability to lead cross-functional teams.
- Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
- Provide training, documentation and support to users of workforce data products, ensuring effective utilization and adoption.
