Business Manager Research, AVP

Barclays•New York, NY

2d•$105,000 - $130,000•Onsite

About The Position

Join Barclays as a Business Manager Research, AVP, where you will help drive the strategy, governance, and operational excellence behind AI, data, and quantitative research. You will support the onboarding and coordination of external AI and data vendors, partner with Data Science and Quantitative teams to oversee proof-of-concept programs, and advocate for the infrastructure that enables research innovation. Your role will also involve supporting the development and guidance of structured data products, organizing research outputs such as models, signals, and datasets, and ensuring robust oversight of data usage, entitlements, and client access. As well as, working across a broad stakeholder network, you will help ensure that research data and insights are governed, packaged, and distributed efficiently to maximize business impact.

Requirements

Ample evaluative and organizational skills, with the ability to synthesize information and ensure priorities effectively
Remarkable attention to detail, particularly in tracking, reporting, data management, and governance-related activities
Confirmed ability to guide multiple workstreams simultaneously while meeting deadlines and maintaining quality
Proficiency in Microsoft Excel and PowerPoint for data evaluation, reporting, and presentation development
Excellent written and verbal communication skills, with the ability to collaborate effectively across cross-functional teams and stakeholders
Knowledge of sell-side research and financial services industry practices
Experience negotiating contracts
Ample vendor management skills
Remarkable attention to detail, and written and verbal communication skills
Excellent organizational skills with the ability to ensure multiple priorities and deadlines effectively
Risk and controls
Change and transformation
Business acumen
Strategic thinking
Digital and technology
Job-specific technical skills

Responsibilities

Collaboration with business and senior leadership to develop and implement business strategies that align with organizational goals and regulatory requirements.
Liaison between different business units and functions, fostering communication and collaboration.
Management and coordination of strategic initiatives, projects, and change management efforts to optimize business processes and strengthen the control environment.
Improvement of operational efficiency within the organisation including the identification of areas for improvement, streamlining of processes, and implementation of best practices to enhance productivity and effectiveness.
Development of performance reporting for key metrics that reinforce the strategic objectives of the division and support the external commitments made.
Involvement in aspects of financial analysis and budget management, including assistance in financial planning, forecasting, and monitoring of financial performance against targets.
Support to business heads in partnership with HR on hiring, workforce planning, joiner/mover/leaver actions.
Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.
Support the onboarding and coordination of external AI and data vendors.
Partner with Data Science and Quantitative teams to oversee proof-of-concept programs.
Advocate for the infrastructure that enables research innovation.
Support the development and guidance of structured data products.
Organize research outputs such as models, signals, and datasets.
Ensure robust oversight of data usage, entitlements, and client access.
Ensure that research data and insights are governed, packaged, and distributed efficiently to maximize business impact.