The role is to lead the client insights team driving the strategic development, delivery, and management of innovative data led insights for Corporate clients. This includes maintaining existing Client Insights products and services, ensuring accuracy, accessibility, and compliance with product governance standards.

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.Client Insights are innovative data products that can be free or paid for that are made available direct to clients, news outlets, and other external stakeholders.

The team uses advanced analytics on Barclays and external data sets to extract insights on clients' products, markets, and competitors.

The team collaborates with Coverage and Sales teams to work closely with clients to enhance client relationships and optimize business strategies.

The team sits as part of the Digital, Data, and Analytics (DDnA) team within Global Transaction Banking.

Key Accountabilities:

Leadership: Leading and mentoring a team of product managers, analysts, and proposition managers, fostering a high-performance and data-driven culture.

Strategic Direction: Creating and overseeing a vision, strategy, and multi-year plan for direct-to-client insights, identifying opportunities to commercialize data products, and staying updated on industry trends and technologies.

Technology Architecture & Governance: Working with Technology partners to optimize the tech architecture and design that supports client insights.

Advanced Analytics Enablement: Innovating with advanced analytics, understanding complex analytical deliveries, and partnering with data science teams to build models and algorithms.

Product Strategy and Vision: Managing existing products, creating new data products, defining a data product roadmap, and overseeing product launches.

Client & Coverage: Engaging with end-users, marketing products, and building a network of contacts to refer new business opportunities.

Control & Governance: Managing risks, ensuring compliance with data privacy, and improving controls for all Client Insights products and services.

Candidate Profile Expected:

Advanced Analytics or Data Management Experience.

Experience managing a medium size team (>5 people).

Excellent communication skills – ability to lead client facing meetings.

Product Management Experience.

Data Science (AI/ML) Experience.

Knowledge of AWS Cloud Platform, Tooling, and Capabilities.

Mathematics or similar background.

Purpose of the RoleTo implement data quality processes and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organization improve its operations and optimize resources.

Accountabilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.

Execution of data cleansing and transformation tasks to prepare data for analysis.

Designing and building data pipelines to automate data movement and processing.

Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.

Documentation of data quality findings and recommendations for improvement.

Director Expectations

To manage a business function, providing significant input to function-wide strategic initiatives.

Manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business.

Provide expert advice to senior functional management and committees to influence decisions made outside of the own function.

Manage, coordinate, and enable resourcing, budgeting, and policy creation for a significant sub-function.

Escalate breaches of policies/procedures appropriately.

Foster and guide compliance, ensure regulations are observed, and relevant processes in place to facilitate adherence.

Demonstrate extensive knowledge of how the function integrates with the business division/Group to achieve the overall business objectives.

Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/sensitive situations.

Negotiate with and influence stakeholders at a senior level both internally and externally.

Act as the principal contact point for key clients and counterparts in other functions/business divisions.

All Senior Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are:

L

– Listen and be authentic,

E

– Energize and inspire,

A

– Align across the enterprise,

D

– Develop others.

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