Lead Business Analyst (Hybrid)

Responsibilities

• Partner with clients to understand business objectives, assess current-state processes, and define requirements for transformation initiatives.
• Develop client proposals and solution recommendations that align business needs with Broadridge products, outsourced services, and proprietary tools and methodologies.
• Guide projects from discovery and requirements definition through solution design, implementation, and delivery.

• Analyze business processes, evaluate potential solutions, and recommend improvements using structured problem-solving methods and sound judgment.
• Apply financial services industry knowledge and an understanding of key business drivers to develop practical, client-focused recommendations.
• Collaborate with client stakeholders, business teams, and technical specialists to support alignment and successful implementation.

• Provide project and technical guidance to team members, sharing expertise and supporting the development of colleagues.
• Communicate complex business and technical information clearly to a range of audiences.
• Use generative AI tools to support the development of client-ready deliverables, proposals, and other content, validating outputs for accuracy and quality.

Maintain high standards of quality and follow applicable policies, procedures, and project delivery guidelines.

Qualifications

Experience working at or consulting for broker-dealers, institutional asset managers, wealth managers, financial market utilities such as clearing corporations, or comparable financial services organizations. Advisory experience with an established consulting firm. Strong analytical and structured problem-solving skills, with the ability to translate business needs into actionable recommendations.

• Ability to collaborate across business and technology teams and communicate complex information clearly.
• Experience prompting advanced generative AI models to produce client-ready deliverables, proposals, and other business content.
• This is a hybrid role and requires 2x a week in the office.

Preferred Qualifications

Experience developing reusable AI agent instructions, Markdown-based workflows, or recipes to produce recurring, multistep outputs. Experience configuring Model Context Protocol (MCP), command-line interfaces (CLIs), or equivalent integrations that enable AI agents to interact with tools and external systems. Technical data skills, such as SQL, Python, ETL/ELT frameworks, cloud data platforms such as Snowflake or Databricks, data modeling, or ontology development. Financial modeling skills.

Compensation

Range: The salary range for this position is between $110,000 to $120,000 USD.

Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, location, skills, and education Bonus Eligibility: Bonus Eligible #LI-PP1 We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work.

We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications.

These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.

US applicants: Click here to view the EEOC " Know Your Rights " poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best.