Job Responsibilities
- Lead Data Product Development. Creation and implementation of a strategic roadmap for allocation transformation, ensuring alignment with the firm's long-term goals and objectives.
- Conduct thorough analysis of current allocation processes and identify areas for improvement and innovation.
- Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership.
- Drive the design and development of data products that enhance allocation processes and provide actionable insights to stakeholders.
- Collaborate with data engineering and analytics teams to build scalable and robust data solutions that support business needs.
- Define data product requirements, including data sources, integration points, and user interfaces, ensuring they align with strategic objectives. Apply deep knowledge of finance, P&A, and allocations to guide strategic decisions and ensure alignment with industry best practices.
- Provide expert advice on financial modeling, budgeting, and forecasting to support allocation strategy.
- Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm.
- Build strong relationships with key stakeholders across the organization to gain support and buy-in for strategic initiatives.
- Present complex ideas and strategies in a clear and compelling manner to influence decision-makers and drive change. Address concerns and challenges raised by stakeholders, providing solutions and maintaining open lines of communication.
Required qualifications, capabilities, and skills
- 7+ years of experience or equivalent expertise in Software Engineering, with a focus on leading complex technology projects and programs in large organizations.
- Proven experience in finance, P&A, and allocations within a technology-driven environment.
- Strong understanding of data engineering principles and practices.
- Demonstrated ability to influence stakeholders and drive strategic initiatives.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication and interpersonal skills, with the ability to work collaboratively across teams.
- Experience in leading transformation projects and managing change within an organization.
'Preferred qualifications, capabilities and skills:
- Familiarity with financial modeling and analysis tools.
- Experience with data visualization and business intelligence platforms.
- Knowledge of industry-specific regulations and compliance standards
- Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred.