Vice President – Lead Data Analyst

Job Description

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise 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.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.

Embark on a transformative journey as a Vice President – Lead Data Analyst, for the Financial Crime Operations Data Domain to implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organization improve its operation, and optimize resources. You will be investigating and analyzing data issues related to quality, lineage, controls, and authoritative source identification, execution of data cleansing and transformation tasks to prepare data for analysis. You will be involved in 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 and documentation of data quality findings and recommendations for improvement.

To be successful in this role as a Vice President- Lead Data Analyst, you should possess the following skillsets:

• Experience in Data Management, Governance including records management and ability to review business processes from data lens and identify critical upstream and downstream components especially in financial services organisation – understanding of models, EUDAs etc.

• Strong understanding of data governance, quality, controls, lineage and reference data/metadata management including relevant policies and frameworks to ensure data integrity, security, and compliance with regulatory requirements.

• Clear understanding of the elements of an effective control environment, enterprise risk management framework, operational risk or other principal risk frameworks.
• Strong stakeholder management across geographies & cultures.  
• Good understanding and practical exposure to application of BCBS 239 principles and related frameworks.
• A strong understanding of Risk and Control environment/control frameworks/op risk, including understanding of second and third line functions and impact across people, process and technology.

• Analytical techniques and tools to extract meaningful insights from complex data sets and drive data- strategic leadership: provide strategic direction and leadership for data analysis initiatives, ensuring alignment with organizational and program goals. Functional understanding of financial crime and fraud data domains would be preferred.
• Stakeholder Collaboration: Collaborate with cross-functional teams to identify data needs and deliver actionable insights.
• Advanced Analytics: Utilize advanced driven decision-making to deliver best in class insights to enable stakeholders to make informed business decisions and support data quality issue remediation.
• Perform robust review and QA of key deliverables being sent out by the team to stakeholders.

• Demonstrate a collaborative communication style, promoting trust and respect with a range of stakeholders including Operational Risk/Chief Controls Office/ Chief Data Office/ Financial Crime Operations subject matter experts (SMEs), Chief Data Office, Risk Information Services, Technology.

        Some other highly valued skills include:

• Graduate in any discipline.
• Effective communication and presentation skills.
• Experience in Data Management/Governance/Quality Controls, Reporting and Risk Management preferably in a financial services organisation.
• Experience in Data Analytics and Insights (using latest tools and techniques e.g. Python, Tableau, Tableau Prep, Power Apps, Alteryx), analytics on structured and unstructured data.
• Experience on data bases and data science/ analytics tools and techniques like SQL, AI and ML (on live projects and not just academic projects).
• Proficient in MS Office – PPT, Excel, Word & Visio. 
• Comprehensive understanding of Risk, Governance and Control Frameworks and Processes.

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 is our Noida office.