Top Tech Jobs & Startup Jobs

Leads workforce forecasting, analytics, and capacity planning across contact center and processing operations. Builds and improves demand forecasts, staffing models, scenario analyses, and capacity frameworks. Provides visibility into staffing needs, service risks, costs, and operational trade-offs. Owns workforce planning assumptions, data definitions, analytics standards, and reporting requirements while translating complex data into actionable recommendations for operational and non-technical stakeholders.

Leads workforce planning and optimisation across multiple brands and operational channels. Responsibilities include forecasting, scheduling, capacity planning, workforce governance, reporting, automation, budget and FTE planning, performance improvement, and WFM system maturity. The role manages and develops a workforce planning team while aligning workforce supply and capability with customer demand, service commitments, and business objectives.

Develop workforce plans, rosters, staffing models, availability frameworks, and contingency plans aligned with forecast demand. Manage leave governance, compliance, workforce capacity, overtime, and roster integrity. Analyze utilization, adherence, coverage, productivity, and workforce risks, providing recommendations to Operations leaders. Partner with Workforce Management teams to improve service delivery, workforce efficiency, planning maturity, and cost outcomes across complex multi-site, multi-channel operations.

The Claims Operations Manager will oversee claims processing operations, lead a large team, ensure adherence to regulations, and enhance service quality through strategic initiatives.

Design, develop, deploy, and support enterprise applications and integrations using C#/.NET and Azure services. Drive scalability, security, automation, observability, CI/CD, and event-driven architecture. Mentor engineers, conduct code reviews, influence architecture, collaborate with stakeholders, modernize legacy systems, troubleshoot complex issues, and lead production incidents. The role also applies Generative AI, LLMs, and agentic automation to software applications and business processes.

The Senior Software Engineer will lead technical quality, scalability, and security in applications, mentor engineers, and shape solutions in financial services technology.

Lead digital optimisation across websites, landing pages, and customer journeys. Use analytics, customer insights, A/B testing, personalisation, and content optimisation to improve engagement, conversion, and customer experience. Manage Adobe Experience Platform and MarTech initiatives, translate data into business actions, collaborate with cross-functional stakeholders, and coach a direct report.

Own the end-to-end product vision, roadmap and backlog for Asset Management Services and Onboard Finance. Translate strategy, operational needs and regulatory obligations into prioritized technology outcomes. Drive delivery across matrixed teams, manage risks, dependencies, governance and compliance, and act as trusted partner to senior stakeholders.

Build and lead an SRE practice and enterprise observability platform across Azure hybrid environments. Design observability, automation, IaC and CI/CD integrations, incident management, governance, and reliability engineering practices. Mentor teams, influence architecture, embed SRE across the SDLC, and adopt AI-assisted operations to improve platform robustness and compliance.

Provide operational support to the Sales team by coordinating leadership schedules, preparing reports and insights, managing administrative processes and systems, maintaining compliance and documentation, supporting process improvements, and building cross-functional relationships to ensure smooth sales operations.