Senior Data Manager

Embark on a transformative journey as a “Senior Data Manager” at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. The purpose of the role is to manage various FinCrime Execution related MI, both BAU and new requests. The role will work alongside the EDD Team, Risk Assessment Unit and Coverage to collate, analysis and distribute Key data to help drive enhanced Client reviews or investigations. This role will require creation of BAU reports and adhoc bespoke reports.

To be a successful as a Senior Data Manager, you should have experience with :

• 
  Oversee Collation, analysis distribution MI to management and stakeholders across the bank.
• Manage one MI Analyst supporting the business.
• Demonstrate a thorough understanding of multiple software systems and a detailed working knowledge of Excel or other data systems to merge and filter large quantities of data for ease of use.

o Create and maintain Tableau dashboards utilised by Financial Crime Execution for reporting and analysis purpose. This role requires someone with strong Tableau coding, governance and oversight experience.

o Create and maintain Databases/Excel for workflow including vba/macro’s and general formula’s. Where possible suggesting better systems for data management / migration.

o Extract data from Barclays source systems (such as Fullserve and Jetbridge) to identify high-risk customers requiring Forum and to enhance data points available for review including SAR’s, Court Orders, payment information where required and anomalies requiring investigation.

o Create and run SQL code to be able to obtain data for the team from our data warehouse. This includes ad hoc work in obtaining data through SQL and creating MI from this for various stakeholders.

• Prepare MI relating to the HR Forums to present at the monthly/annual risk forums (e.g. EDD breaches, Attestation letters, Scorecard, risk trends etc.)

o Contribute to the enhancement of the HR Forum function to enhanced oversight, drive efficiencies and automation of activities where possible.

o The role holder will be required to assess and identify areas of focus from the MI so as to advise peers, Management and others of potential issues which require further focus.

o Prepare MI Reports for Manager to present at Senior Management Meetings

• Team level MI

o Support the wider FCE team with all matters pertaining to MI relating to customer types and activities.

o Provide data analysis of FCE activities to understand team productivity.

o Produce a random sample for the FCE team to QA/QC sample.

• Strong communication skills are required to influence peers and management of the impact to adhere to findings.
• Support work with change programmes to enable improvements such as testing processes and running pilots.
• Support Financial Crime Execution design improvements and process structuring such that the teams operates efficiently. Engage with peers and management to highlight and mitigate any issues as they are identified.

Stakeholder Management and Leadership

Key referral point for Stakeholders consuming the data which include, senior representatives from Coverage, Financial Crime, EDD and Risk Assessment Unit. Data will include highly sensitive information, and will require the candidate to be attentive and accurate in portrayal of the meetings through production of minutes.

The role holder will manage one data analyst.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in our Noida, Gurgaon office.

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building 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, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Assistant Vice President Expectations

• To 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
• If the position has leadership responsibilities, People 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.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will 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. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.