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About the Role

As Director - Sales Analytics, you will use data, analytics, and hands-on AI/ML to deliver measurable commercial impact across Markets Sales, building a prioritised pipeline of high-value use cases and taking them from discovery through deployment and adoption. You will lead senior stakeholders across Sales, Product, Risk and Compliance, partnering with CDO/CTO, SMAD/Quants, and engineering/data teams to align priorities, secure decisions, and deliver outcomes.

Responsibilities

Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification.
Document data sources, methodologies, and quality findings with recommendations for improvement.
Design and build data pipelines to automate data movement and processing.
Apply advanced analytical techniques to large datasets to uncover trends and correlations.
Develop validated logical data models.
Translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Design and create interactive dashboards and visual reports using applicable tools.
Automate reporting processes for regular and ad-hoc stakeholder needs.
Manage a business function, providing significant input to function-wide strategic initiatives.
Contribute to and influence policy and procedures for the function.
Plan, manage, and consult on multiple complex and critical strategic projects.
Lead organisation-wide projects and act as a deep technical expert and thought leader.
Identify new ways of working and collaborate cross-functionally.
Train, guide, and coach less experienced specialists.
Provide information affecting long-term profits, organisational risks, and strategic decisions.
Provide expert advice to senior functional management and committees to influence decisions made outside of own function.
Manage, coordinate, and enable resourcing, budgeting, and policy creation for a significant sub-function.
Escalate breaches of policies/procedure appropriately.
Foster and guide compliance and ensure regulations are observed.
Focus on the external environment, regulators, or advocacy groups to monitor and influence on behalf of Barclays.
Demonstrate extensive knowledge of how the function integrates with the business division/Group to achieve overall business objectives.
Maintain broad and comprehensive knowledge of industry theories and practices within own discipline.
Use interpretative thinking and advanced analytical skills to solve problems and design solutions in complex/sensitive situations.
Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
Negotiate with and influence stakeholders at a senior level both internally and externally.
Act as principal contact point for key clients and counterparts in other functions/business divisions.
Act as spokesperson for the function and business division.
Demonstrate leadership behaviours to create an environment for colleagues to thrive.
Deliver Markets Sales commercial impact with hands-on analytics and AI/ML.
Build a prioritised use-case pipeline and ship to production with KPI definition and tracking.
Engineer end-to-end solutions, personally coding/prototyping critical components.
Operationalise analytics/ML with trusted data, model governance, and delivery controls.
Lead senior stakeholders to align priorities, secure decisions, and deliver outcomes.

Requirements

Demonstrated ability to deliver analytics and AI/ML end-to-end, writing production-grade code from problem framing through build, deployment, and adoption.
Demonstrated ability to engineer trusted data and features using Python/SQL on Databricks/Spark and Snowflake.
Demonstrated ability to apply engineering discipline to analytics/ML (Git, automated testing, code review, and CI/CD) to ship reliable changes.
Demonstrated ability to prioritise use cases with clear KPIs and run experiments that evidence commercial impact.
Demonstrated ability to influence senior stakeholders and deliver at scale within governance (model risk, compliance, and controls).

Skills

Python
SQL
Databricks
Spark
Snowflake
Git
CI/CD
Model risk
Compliance
Controls
Markets Sales analytics
Targeting
Next-best action
Coverage effectiveness
Pipeline
Market data analytics
Pre-trade analytics
Post-trade analytics
Kafka
dbt
PySpark
Java
C++
kdb+
q
MLOps
MLflow
Data governance
Data quality checks
Lineage
Metadata
Access controls
Privacy-by-design
Immuta
GenAI

Experience Level

Director

About the Company

Barclays is a British universal bank. We are diverse by nature and by design. We are a global financial services provider engaged in retail banking, credit cards, corporate and investment banking, and wealth management services with operations in North America, Europe, the Middle East and Africa and Asia Pacific.

Equal Opportunity

All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.