Manager - HC Intelligence

Tawteen; Muscat; On-site; OMR 42,000 - 66,000; Full time

Job summary

Tawteen seeks a Manager, Human Capital Intelligence to lead workforce data analytics and AI initiatives. You will shape the HC intelligence roadmap, govern data, and partner with Enterprise AI to deliver evidence-based workforce insights for decision-makers.

Responsibilities include building dashboards, cost projections, and compensation models, while ensuring governance, privacy, and model-risk controls. Strong English/Arabic communication is valued.

Qualifications

• Bachelor's degree in Human Resources, Data Analytics, Artificial Intelligence, Information Systems, Finance or related discipline. A Master's preferred.
• Professional certification in People Analytics, Data Analytics, BI, HR Systems or AI preferred.
• Minimum of 7 years in people analytics, workforce planning, BI, HR tech or data-led HC transformation.
• Experience in banking/regulated environments preferred.
• Proficiency in advanced Excel and at least one BI platform (Power BI) with data modelling and reporting automation.
• Working knowledge of SQL and Python preferred.
• Experience managing HRMS data, data quality controls and accessible reporting.

Responsibilities

• Develops and executes a prioritised HC Intelligence roadmap aligned with HC strategy and bank ambitions.
• Maintains governed workforce data model, ensuring privacy, security and governance compliance.
• Develops dashboards, scorecards and executive reports on workforce metrics.
• Provides evidence-based insights to senior leaders, distinguishing facts, forecasts and assumptions.
• Supports workforce planning with demand/supply analysis and cost projections.
• Builds transparent compensation and benefits models aligned with policy and governance.
• Improves HRMS adoption, data quality and process controls across HC processes.
• Partners with HC units and data teams to automate recurring analysis and embed data-driven decisions.

Skills

People analytics

Data analytics

Business intelligence

Data modelling

Dashboard design

Reporting automation

Communication

Education

Bachelor's degree in HR/Data Analytics/IS

Master's degree preferred

Professional certification in People Analytics/BI/AI

Tools

Power BI

SQL

Python

Job description

Job Purpose

The Manager Human Capital Intelligence leads the development of Human Capital's workforce intelligence capability, transforming governed people data into forward-looking insights that improve workforce talent reward productivity and employee-experience decisions. The role owns the HC intelligence roadmap, analytical standards, HR technology optimisation and responsible use of artificial intelligence, enabling Human Capital and business leaders to make evidence-based decisions aligned with the Bank's strategy, risk appetite and smart-bank ambition. The Manager HC Intelligence acts as Human Capital's accountable business owner and subject-matter partner for workforce data analytics and AI initiatives. In partnership with the Enterprise AI Unit and relevant control functions, the role defines business requirements, confirms data readiness, supports model validation and adoption, monitors realised benefits and maintains clear accountability for HC decisions arising from analytical or AI-enabled outputs.

Key Accountabilities

• Develops and executes a prioritised HC Intelligence roadmap aligned with the HC strategy and the Bank's smart-bank ambition with clear outcomes, milestones, ownership, dependencies, investment needs, adoption measures and realised benefits.
• Maintains the governed workforce data model and authoritative HC information source ensuring analytics, dashboards, models and AI use cases meet approved privacy, security, records, ethical and model-governance requirements through defined metrics, lineage, ownership, stewardship, validation, reconciliation, access, change approval and proportionate quality and model-risk controls.
• Develops and maintains workforce analytics BI dashboards, scorecards and executive reports covering workforce profile, movement, capacity, talent, learning, succession, engagement, recruitment, mobility, benefits and employee services.
• Provides evidence-based insights, trends, scenarios and recommendations to the Chief Human Capital Officer and relevant governance forums, clearly distinguishing facts, forecasts, assumptions and limitations.
• Supports workforce planning with demand and supply analysis, capability gaps, staffing scenarios, productivity indicators and workforce cost projections in partnership with HC Units and business stakeholders.
• Builds transparent, auditable compensation and benefits models for salary reviews, pay fairness, market benchmarking, promotion and allowance scenarios, benefits optimisation and workforce-cost decisions aligned with approved reward policy and governance.
• Improves HRMS adoption, utilisation, data completeness, controls and transaction quality by identifying root causes and coordinating system, process, training and change interventions with HC process owners.
• Partners with HC Units and manages relationships with data owners, technology, data teams and external providers to define reporting needs, automate recurring analysis and embed data-driven decisions in HC processes and governance.
• Manages HC AI and automation use cases from ethical screening and data readiness through requirements, validation, implementation and adoption, coordinating with relevant technical and control functions to ensure human oversight, explainability, monitoring and escalation and measuring realised value against agreed baselines, benefits measures and post-implementation reviews.
• Conducts diagnostic, predictive and (where appropriate) prescriptive workforce analysis to identify workforce risks, service bottlenecks, capability requirements and opportunities to improve employee experience and organisational effectiveness, converting findings into prioritised recommendations with clear owners, expected impact and success measures and monitors agreed actions through relevant HC and management governance forums.
• Builds data literacy across Human Capital by developing guidance, standard reports and practical capability-building interventions for HC colleagues and relevant managers.

Qualifications and Experience

• Bachelor's degree in Human Resources, Data Analytics, Artificial Intelligence, Information Systems, Finance or a related discipline. A Master's degree is preferred.
• Professional certification in People Analytics, Data Analytics, Business Intelligence, HR Systems, Compensation, or Artificial Intelligence is preferred.
• Minimum of 7 years of progressive experience in people analytics, workforce planning, business intelligence, HR technology, reward analytics or data-led Human Capital transformation, including responsibility for complex analytical initiatives and engagement with senior decision-makers.
• Experience in banking, financial services or another regulated environment is preferred.
• Demonstrated proficiency in advanced Excel and at least one enterprise business-intelligence platform, such as Power BI, with practical capability in data modelling, dashboard design and reporting automation.
• Working knowledge of SQL and statistical or analytical tools such as Python is preferred.
• Proven experience managing HRMS data, data-quality controls, reporting automation and user-adoption improvement, together with practical experience developing compensation scenarios, workforce-cost models or other quantitative decision-support models, is highly preferred.
• Excellent written and spoken English and Arabic, with the ability to present analytical findings, governance matters and recommendations clearly to executive, technical and non-technical audiences.