Principal Software Engineer - Data

About the Role

Key Responsibilities

• Lead Data Product Development.
• Create and implement 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.

Requirements

• 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.

Nice to Have

• Familiarity with financial modeling and analysis tools.
• Experience with data visualization and business intelligence platforms.
• Knowledge of industry-specific regulations and compliance standards.

Qualifications

• Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred.