T&T - Customer- CS&D |WCL-BA/ Delivery Lead / Data Analyst / Mkt Integration

BA- Key Responsibilities
The Business Analyst will primarily be responsible for:
• Identify, review and analyse business processes and systems to understand design implications across Business, IT and Operations
• Support reengineering of processes, where process is one of the many parts of the change, and provide detailed guidance on process design (considering risk, end-to-end and cost)
• Support with impact assessment for change requests on design, scope, time, budget or effort on programme plan and provide accurate estimates for handling new requirements, design changes and scope
• Support the development of control structures and performance scorecards (KPIs) to ensure project milestones, budgets, resources and employee engagement aspirations are met, implementing mitigating actions as appropriate
• Work with markets/regions to understand regulatory, customer and competitive landscape

Delivery Lead:- Key Responsibilities 
The Delivery Lead, will primarily be responsible for:
• Developing portfolio roadmap for respective area and execution against that roadmap.
• Manage the project approach and build stakeholder buy in around the project plan, commitments and changes
• Understanding of data / process flows for model implementation
• Support management of scope schedule, resourcing, dependencies, communications, and budget
• Manage, monitor and report progress, issues, dependencies, risks to portfolio lead, internal stakeholders and steering committees. 
• Make recommendations to influence decision making in order to maintain progress towards delivery and benefits realization.
• Support governance and control activities in line with Business needs and aligned to organisation’s processes.
• Ensure adherence to standard controls and drive teams to achieve compliance and framework, capability management, risk management, security controls and technology architecture design.
• Establish effective governance and control, in line with Change Framework and coordination of cross technology teams across Global Business and Global Function delivery
• Work with the Product Owner to drive improvements in productivity through backlog management, maturity in the use of Agile methodologies, including Scrum, Kanban and Lean, and corresponding management of dependencies

MArket Integration- Key Responsibilities 
The  Market Integration will  :
• Be embedded in delivery teams to support the timely usage of features and functionality to our customers. This role family works alongside local markets and Transformation to ensure business operations and customers are ready to consume digital and regulatory change
• Support in managing the change implementation activities within region / market, including business readiness assessment (i.e. avoiding multiple change clashes), implementation pilot (including approach and checklists) and actual implementation (including reporting status and issues)
• Manage the people aspect of change, in particular looking to maximise adoption and usage, and minimise resistance
• Apply structured change management processes and tools to create a strategy to support adoption of the changes required by a project or initiative 
• Support the design, development, delivery and management of communications
• Conduct impact analyses, assess change readiness and identify key stakeholders 
• Provide input, document requirements and support the design and delivery of training programs
• Develop detailed change plans to track progress 
• Help to establish the project delivery function, which will involve designing and implementing our internal processes and governance arrangements

Data Analyst - Key Responsibilities 
The Senior Data Analyst, Analytics & ML is typically responsible for:
• Defining and developing logical data assets
o Data analysis in the primary sources for completeness, accuracy
o Data analysis of cross-systems linkages, consistency and timing alignments
o Data analysis of the transformation logic where required
o Data analysis of the data required for the model build by GRA
• Developing transformation logic for application models, strategies, affordability and other calculations required in the lending journey
o Provide support on all areas covering trouble shooting and root cause assessment on data issues
o Consult with stakeholders to determine business problems, data requirements and to support decision making
• Develop and apply machine learning / NLP and other advanced analytics to portfolio data to support business processes, insights and decision making specifically in the areas of data remediation and improve data quality, completeness and consistency.
• Generation of data assets and analytics to support business activities, financial projects, product planning, sales activities, performance measurement, regulatory requests and decision making
• Work closely with the CDO communities across Wholesale, Risk, Finance and FCR to ensure the unified data model is fit for purpose for the WCL data demands