Join our dynamic team as a Finance Workforce Data Product Manager, where you will lead the strategy, development, and execution of a data product that supports workforce planning, forecasting, reporting, and analytics across Finance. This role requires a deep understanding of data, analytics, and product development, along with the ability to collaborate with cross-functional teams to deliver impactful solutions. Be part of a forward-thinking organization that values innovation and strategic decision-making.

As a Finance Workforce Data Product Manager within the Finance team, you will lead the strategy, development, and execution of a data product that supports workforce planning, forecasting, reporting, and analytics across Finance. This role requires a deep understanding of data, analytics, and product development, along with the ability to collaborate with cross-functional teams to deliver impactful solutions.

Job 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.Monitor market trends and emerging technologies to inform product development and innovation.Provide training, documentation and support to users of workforce data products, ensuring effective utilization and adoption.

Required Qualifications, capabilities, and skills:

At least 5yrs of experience with Bachelor's degree in Business, Finance, Data Science, or a related field.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.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.

Preferred Qualifications, capabilities, and skills:

Experience with data consumption tools such as Databricks, Alteryx, Tableau, OLAP or similar tools.Familiarity with programming languages such as SQL or Python.