New Post

Wednesday, June 13, 2018

Nafasi ya Kazi Head of Data Management and Analytics - NMB, Mwisho wa Kutuma Maombi ni Tarehe 24 June 2018

Head of Data Management and Analytics

Job Purpose:
Responsible for planning, defining, scheduling, documenting, and coordinating reporting and data analytics for the bank. The Head of Data Management & Analytics has oversight of a total of 3 teams: Data warehouse & Business Intelligence team, Central Analytics team & Data Quality control analyst (headcount 10+). The unit is responsible for the development of statistical methodologies, application tools/programs, and protocols/analyses/reports which support product development, management information & bank’s performance review. The unit has the ultimate accountability for ensuring the volume of work produced meets or exceeds quality level standards of reporting that is required by management and external stakeholder like the BOT. The head manages and direct the daily operations report requirements whilst considering the banks long-term or company initiatives and the impact of those initiatives in reporting.

Main Responsibilities:
• Lead strategy around the planning, analysis, and design of MIS & reporting platform to ensure aligned with the overall informatics strategy to build out bank strategic plans. Maintains adherence to strategic direction and standards of technology in support of information delivery and analytics. Proposes new ideas and recommendation on data management leading to enhanced efficiencies and faster review and analysis of data. Ensure to exercise decision-making and independent judgment. Provide strategic direction to Data Management & Analytics unit and ensure alignment and in support of the bank-wide strategy
• Provide functional excellence in the areas of statistics, data analysis and data processing for the bank by offering high quality of analysis for all aspect of the business
• Champion a data-driven, fact based approach to management. Establishment /Implementation of a good business Intelligence tool that can be used to transform raw data into meaningful information.
• Produce meaningful metrics and offer fact based insights to help guide strategies for brand positioning, customer retention, and development, pricing, product innovation, industry competition and cost effective methods of attracting new business.
• Lead a team of analysts in data exploration and analytics in support of business strategies. Drive best practices around descriptive analytics with team
• Support business requirement on reporting environment: by defining and implement reporting strategy. Act as link between technical team and business: interpret business requirements, define technical vision and ensure business needs are met.
• Support the business managers to understand the health of the business, find growth levers, identify marketing challenges and find productive ways to address the opportunity
• Explore how to bring new ventures of data related include: big data, data science, Artificial intelligence and machine learning in improvement of data exploration.
• Manage the life cycle of data integration, data transmission, operational analytics into enterprise data environments- Data warehouse by diagraming technical decompositions, describes technical process and data components, and designs exception handling and controls.
• Leads the strategic technical planning, analysis, and design of the integrated analytical information assets of the Data warehouse.
• Collaborate with BI analysts, data architects and BI architects during data modeling, data mapping and system specification activities
• Create and maintain metadata to ensure consistent metric definitions and nomenclature is used within the EDW/BI environment.
• Establish a clear data quality policy for the bank. Provide high level of data quality awareness across multiple staff profiles within the bank.
• Research and determine scope and complexity of data quality issue to identify steps to fix issue. Evaluate and identify the data quality gap from people, process and system perspectives.
• Ensure a consistency review of post load audits to identify, compare, and resolve data quality problems.
• Work with Developers & Data Warehouse team to correct data quality errors. Improve data quality, reports validity and consistency.
• Analyze, query and manipulate data according to defined business rules and procedures set in the Data Quality Management tool.
People Management

• Hire and continue to build a world class of data science, analytics & data warehouse specialist.
• Ensure the development of a high- performing team through embedding formal Performance appraisal and informal coaching. Manage team on how to conduct meaningful Performance appraisal discussions with their direct reports and ensure that they conduct the process effectively
• Determine and analyze training and development needs for people. Ensure that identified training is budgeted for and executed
• Establish and maintain a succession plan for the key roles in the area

• Innovative and creative
• Ability to establish and manage structures, processes and standards
• Project management
• Strong planning, organization and documentation skills
• Excellent research, analytical, and problem-solving skills
• Ability to conceptualize and systematically work through projects in accordance with a structured methodology
• Coaching, leading and motivating skills
• Ability to priorities, meet deadlines and work under pressure

Qualifications and Experience:
• 10+ years of experience in managing business partners and providing management information, descriptive Analytics or related field
• Strong managerial and interpersonal skills
• Demonstrate ability to communicate complex issues and concepts in a simple manner. Excellent verbal communication, writing and interpersonal skills.
• Demonstrate ability and experience to develop and defend technical recommendations and budgetary plans
• Demonstrate experience working in a deadline-oriented environment managing multiple projects simultaneously
• Data quality assurance, use of banking coding dictionaries).
• Knowledge and experience with various databases and key technologies (e.g., Business Intelligence, Data Warehouse )
• Ability to work on multiple projects, balancing competing priorities.
• Thorough knowledge of the main features of the collection of data and the relationship of data elements to each other
• Demonstrate experience and ability to work effectively in a dynamic, collaborative and fast-paced atmosphere
• Knowledge and experience with data warehouses and analytics and reporting tools. Experience in MI and Business analysis.
• Ability to work independently and under pressure with changing priorities. Ability to prioritize workload and meet deadlines.
• Committed attention to detail and accuracy
• Demonstrated advanced analytic and diagnostic skills.
• Demonstrate ability to communicate complex issues and concepts in a simple manner. Excellent verbal communication, writing and interpersonal skills.
• Demonstrate ability and experience to develop and defend technical recommendations and budgetary plans
• Demonstrate experience working in a deadline-oriented environment managing multiple projects simultaneously
• Commercial acumen
• Development of effective partnerships with external and internal stakeholders
• Product portfolio management experience in a software product company
• Contribution to the strategic evolution of a software product