Senior Manager; Business Insights & Analytics

Job snapshot

NMB Bank Plc is recruiting a Senior Manager; Business Insights & Analytics. The post sits inside the finance function, where accuracy and controls matter most. The post is based in Head Office.

NMB Bank Plc operates a finance function with reconciliation and reporting at its core.

Role overview

Act as a Bank analytics partner to the business, turning data into decisions that leadership and the business units can act on.

Responsible to own the business side of data, what the business needs from it, and the analysis, models, dashboards, and insight built on top of it.

Closely working with all business and reporting tools.

Main Responsibilities.

Business Unit Partnership & Demand Management Act as the single point of contact for analytics across the business units understanding each units commercial objectives, agreeing an analytics agenda with each Business Head, and keeping it aligned to the Banks strategy.

scarce engineering capacity goes to the highest-value work rather than to whoever asks loudest.. This also covers gather, challenge, and consolidate data and reporting demand from across the business into a single prioritized pipeline,.

Agree service expectations with business stakeholders on what will be delivered, to what quality, by when and manage expectations honestly when trade-offs are required.

Embed analytics into business routines, this entails performance reviews, planning cycles, product launches, and campaign post-mortems.

Coordination of Data Engineering & Technical Capability (CTOs Team) Translate business questions into clear, unambiguous technical requirements - data sources, definitions, granularity, refresh frequency, and acceptance criteria - for the CTOs data engineering, platform, and architecture teams.

coordinating and sequence the Banks data engineering demand with the CTOs teams joint prioritization, delivery planning, dependency management, and escalation where timelines or quality are at risk.

Act as business owner and acceptance authority for data products delivered by technology such as pipelines, data marts, semantic layers, and reporting infrastructure, signing off only when they meet the businesss stated requirements.

Work with the CTOs teams to drive down data latency, moving, processing and reporting from D1 towards near real time, and to raise the level of automation, scheduled jobs, robust pipelines, and self-serve reporting so manual effort falls across both functions.

what is built serves how the Bank runs.. This also covers contribute the business perspective to data architecture, tooling, and platform decisions,.

maintaining a shared view of data definitions and business logic between the business and technology, so there is one trusted version of the truth and business units are not reconciling competing numbers.

Business Intelligence, Monitoring & Reporting Define the requirements for, and own the business content of, real-time monitoring dashboards that detect transaction spikes and dips, liquidity and float shortages across channels, and fraud or anomaly patterns, protecting service uptime, customer experience, and revenue, and cutting incident response times.

Design and maintain the Banks management dashboards and self-serve reporting layer, working on the platforms provided and supported by the CTOs teams.

preparing analytics inputs for Management, Board, and regulatory reporting cycles to the required standard and timelines.

Performance Tracking & Insight Generation Serve as the central resource for business analytics track and report on all active and launched strategic initiatives and projects and coordinate the collection and assembly of annual operating plans and budgets.

Produce scorecards and ranking tables for business performance by segment, product, channel, region, branch, and relationship team highlighting deviations from target, developing hypotheses in consultation with departmental heads, and proactively raising red flags on initiatives that are not meeting objectives.

Propose data-based amendments to strategies and initiatives to enhance or accelerate the attainment of business objectives.

carrying out regular and ad-hoc deep-dive analyses to explain trends that are not immediately understood across the business.

supporting business case development and post-implementation reviews for major initiatives with credible, evidence-based numbers.

deposit and liquidity forecasting, transaction volume forecasting, channel capacity planning, and pricing and yield optimization.. This also covers advanced Analytics & Predictive Modelling Lead the development of predictive and optimization models that lift profitability, operational efficiency, and customer experience.

Identify new opportunities to apply machine learning and statistical modelling to commercial problems customer attrition and churn prediction, cross-sell and up-sell propensity, customer lifetime value, next-best-action, credit risk and collections analytics, and fraud and anomaly detection.

Work with the CTOs teams on the deployment, hosting, and ongoing monitoring of models in production, with clear ownership of model performance and business outcomes retained by this role.

models developed within the analytics function meet the Banks model governance, validation, and documentation standards.. This also covers partner with Risk and Credit teams.

Team Leadership & Analytics Delivery Lead and manage the Strategy analytics team - Data Analysts and Data Scientists delivering end-to-end analytical solutions on top of the data platforms provided by technology.

Set the teams priorities, development plans, and performance standards; recruit, coach, and retain strong analytics talent.

Promote a data-driven culture across the Bank by aligning analytics outputs with strategic objectives, and by building analytical capability within the business units themselves so decisions at executive level are faster and better informed.

Data Quality, Governance & Compliance Act as business data steward for the analytics domain, own business data definitions, quality rules, and reconciliation standards, and work with the CTOs teams to have them enforced at source and in the pipelines.

bank of Tanzania regulations and applicable data protection legislation.. This also covers making sure data quality and integrity by implementing rigorous reconciliation processes for financial and management reporting and for audits, in line with regulatory and industry requirements,.

Define and maintain process compliance, standard operating procedures, and data policies for the analytics function; coordinate with Internal Audit and Controls to confirm testing adherence.

Safeguard responsible data handling, access controls, customer data privacy and confidentiality, and documentation, across the analytics function, in line with the security standards set by technology.

Knowledge and Skills.

Strong SQL and practical experience with at least one analytics language (Python and R) - enough to build and to interrogate what others have built.

BI and visualization tools - Power BI, Tableau, Looker, Superset, or similar.

Sufficient working knowledge of data pipeline and workflow tooling (e.g.

Airflow, dbt, or equivalent ETL frameworks) to write credible requirements, review designs, and hold engineering delivery to account.

Working knowledge of data warehousing concepts, data modelling, and cloud platforms (AWS, GCP, or Azure).

Familiarity with machine learning workflows - from feature engineering through model deployment and monitoring.

Understanding core banking, card, and digital channel data structures is a useful extra.

Key responsibilities

• Set the teams priorities, development plans, and performance standards; recruit, coach, and retain strong analytics talent.
• Act as the single point of contact for analytics across the business units understanding every units commercial objectives, agreeing an analytics agenda with each Business Head, and keeping it aligned to the Banks strategy.
• Define and maintain process compliance, standard operating procedures, and data policies for the analytics function; coordinate with Internal Audit and Controls to confirm testing adherence.
• Position.
• Coordination of Data Engineering & Technical Capability (CTOs Team).
• Scarce engineering capacity goes to the highest-value work rather than to whoever asks loudest.. This as well covers gather, challenge, and consolidate data and reporting demand from across the business into a single prioritized pipeline,.
• What is built serves how the Bank runs.. This as well covers contribute the business perspective to data architecture, tooling, and platform decisions,.
• Propose data-based amendments to strategies and initiatives to enhance or accelerate the attainment of business objectives.
• Serve as the central resource for business analytics track and report on every active and launched strategic initiatives and projects and coordinate the collection and assembly of annual operating plans and budgets.
• Coordinating and sequence the Banks data engineering demand with the CTOs teams joint prioritization, delivery planning, dependency management, and escalation where timelines or quality are at risk.
• Maintaining a shared view of data definitions and business logic between the business and technology, so there is one trusted version of the truth and business units are not reconciling competing numbers.
• Data Quality, Governance & Compliance.
• Bank of Tanzania regulations and applicable data protection legislation.. This as well covers making sure data quality and integrity by implementing rigorous reconciliation processes for financial and management reporting and for audits, in line with regulatory and industry requirements,.
• Define the requirements for, and own the business content of, real-time monitoring dashboards that detect transaction spikes and dips, liquidity and float shortages across channels, and fraud or anomaly patterns, protecting service uptime, customer experience, and revenue, and cutting incident response times.
• Act as business data steward for the analytics domain, own business data definitions, quality rules, and reconciliation standards, and work with the CTOs teams to have them enforced at source and in the pipelines.
• Safeguard responsible data handling, access controls, customer data privacy and confidentiality, and documentation, across the analytics function, in line with the security standards set by technology.
• Promote a data-driven culture across the Bank by aligning analytics outputs with strategic objectives, and by building analytical capability inside the business units themselves so decisions at executive level are faster and better informed.
• Supporting business case development and post-implementation reviews for major initiatives with credible, evidence-based numbers.
• Models developed inside the analytics function meet the Banks model governance, validation, and documentation standards.. This as well covers partner with Risk and Credit teams.
• Work with the CTOs teams to drive down data latency, moving, processing and reporting from D1 towards near real time, and to raise the level of automation, scheduled jobs, robust pipelines, and self-serve reporting so manual effort falls across the two functions.
• Agree service expectations with business stakeholders on what will be delivered, to what quality, by when and manage expectations honestly when trade-offs are required.
• Leading and manage the Strategy analytics team - Data Analysts and Data Scientists delivering end-to-end analytical solutions on top of the data platforms provided by technology.
• Work with the CTOs teams on the deployment, hosting, and ongoing monitoring of models in production, with clear ownership of model performance and business outcomes retained by this role.
• Design and maintain the Banks management dashboards and self-serve reporting layer, working on the platforms provided and supported by the CTOs teams.
• Business Intelligence, Monitoring & Reporting.
• Identify new opportunities to apply machine learning and statistical modelling to commercial problems customer attrition and churn prediction, cross-sell and up-sell propensity, customer lifetime value, next-best-action, credit risk and collections analytics, and fraud and anomaly detection.
• Deposit and liquidity forecasting, transaction volume forecasting, channel capacity planning, and pricing and yield optimization.. This as well covers leading the development of predictive and optimization models that lift profitability, operational efficiency, and customer experience.
• Carrying out routine and ad-hoc deep-dive analyses to explain trends that are not immediately understood across the business.
• Team Leadership & Analytics Delivery.
• Translate business questions into clear, unambiguous technical requirements - data sources, definitions, granularity, refresh frequency, and acceptance criteria - for the CTOs data engineering, platform, and architecture teams.
• Advanced Analytics & Predictive Modelling.
• LocationHead Office.
• Act as business owner and acceptance authority for data products delivered by technology like pipelines, data marts, semantic layers, and reporting infrastructure, signing off only when they meet the businesss stated requirements.
• Embed analytics into business routines, this entails performance reviews, planning cycles, product launches, and campaign post-mortems.
• Business Unit Partnership & Demand Management.
• Preparing analytics inputs for Management, Board, and regulatory reporting cycles to the required standard and timelines.
• Performance Tracking & Insight Generation.
• Produce scorecards and ranking tables for business performance by segment, product, channel, region, branch, and relationship team highlighting deviations from target, developing hypotheses in consultation with departmental heads, and proactively raising red flags on initiatives that are not meeting objectives.

Requirements

• NMB Bank Plc is an Equal Opportunity Employer.
• Experience working with regulators, auditors, and compliance requirements in financial services.
• Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
• Open Careers Portal.
• Female candidates and people living with disabilities are strongly encouraged to apply for this position.
• Only shortlisted candidates will be contacted.
• Ought to you receive a solicitation for the payment of a fee, please disregard it.
• Track record of building dashboards, analytical products, and predictive models that shipped and got used.
• Proven experience in banking, financial services, payments, or a comparable transaction-intensive environment.
• NMB Bank Plc does not charge every fee in connection with the application or recruitment process.
• Demonstrated experience working in a matrix - delivering business outcomes via a separate technology or engineering function you do not line-manage.
• A minimum of 5 years' experience in data analytics or business intelligence, with at least 2-3 years leading a team.
• A Masters degree or relevant professional certification is a useful extra.
• We are committed to creating a diverse environment and achieving a gender balanced workforce.

Key skills

• Safety & Compliance Auditing
• Python Programming
• Data Analysis
• Business Intelligence
• Microsoft Azure Cloud
• AWS Cloud Infrastructure
• Capacity Planning

How to apply

Apply through the NMB Bank Plc careers portal for this manager.

Apply on the NMB Bank Plc site

Common questions

What role is open?

NMB Bank Plc is recruiting a Senior Manager; Business Insights & Analytics.

Where is the job based?

The post is based in Head Office.

How do I apply?

Submit your application directly on the employer's official portal: Apply on the NMB Bank Plc site