Performance Marketing

• Lead integrated marketing campaigns that support PwC's strategic growth priorities
• Collaborate with stakeholders and marketing teams to create seamless customer journeys
• Monitor and analyze campaign performance using data and insights
• Manage campaign delivery including project plans, budgets, and compliance

Marketing Manager – Campaign Management

Social Media Manager

• lead and evolve the firm's social media presence and internal influencer strategy
• shape social media strategy and manage social operations
• develop and deliver the firm's social media and influencer marketing strategy
• manage and coach a Social Media Senior Associate
• lead the internal influencer programme, identifying and nurturing thought leaders across the business
• partner with Marketing, Corporate Affairs and business stakeholders to support key campaigns and activations
• analyse performance data and campaign metrics to optimise content, engagement and investment
• oversee social media operations, including inbound requests, workload prioritisation, governance and best practice

Social Media, Influencer Marketing Manager

• creating, editing and publishing content across LinkedIn, Meta and other social media platforms
• producing engaging video and visual content using tools such as CapCut and similar editing platforms
• supporting the delivery of social media campaigns from concept through to execution
• managing content calendars, scheduling posts and monitoring channel performance
• working with internal stakeholders to develop content that supports business priorities and campaigns
• supporting influencer marketing, employee advocacy and social engagement activities

Senior Associate, Social Media and Influencer

Project Manager

• Lead translation of complex risk and operational challenges into clear problem statements and prioritise uplift initiatives based on value, efficiency and risk outcomes.
• Lead solution analysis by partnering with stakeholders to explore, develop, and test fit-for-purpose onboarding pathways and workflow improvements.
• Support the development of business requirements, including clear scope, acceptance criteria, and traceability to business and risk outcomes.
• Lead solution design for onboarding and risk assessment processes by overseeing and quality assuring the redesign, simplification and optimisation of end-to-end workflows.
• Lead operating model design activities to support streamlined onboarding pathways, clearer accountability, and improved decision-making.
• Capture and consolidate broad perspectives to ensure business, client, risk, technology and operational requirements are reflected in the target-state design.
• Lead alignment between global standards, regulatory obligations, and local business requirements to ensure fit-for-purpose solutions.
• Lead delivery of roadmap development and monitoring through integrated implementation plans across interconnected risk and technology initiatives.
• Actively identify and manage cross-functional dependencies, risks, constraints and impacts associated with process redesign.
• Lead and drive execution through implementation, monitoring progress against milestones, and reporting on risks, issues and benefits of realisation.
• Work and operate comfortably at both strategic and delivery levels.
• Lead and manage direct and matrix-ed resources across the business.

Project Manager – Client Onboarding, Risk Assessment

Payroll

• Direct efforts in implementing SAP On-Premise or Employee Central Payroll solutions
• Provide product and implementation knowledge to achieve defined business outcomes
• Set strategic direction and drive business development initiatives
• Oversee multiple projects and maintain executive-level client relations
• Mentor and develop team members to reach their potential
• Foster a culture of innovation and continuous improvement
• Maintain adherence to professional and technical standards
• Collaborate with clients to understand and meet their needs

Payroll Director, SAP

Operations

• Analyzing client needs to optimize operational efficiency through Insurance consulting
• Implementing insurance solutions and providing training for seamless integration and utilization
• Leading teams in strategic planning and execution of consulting projects within the insurance sector
• Developing and managing project plans to achieve client objectives and prevent delays
• Utilizing analytical reasoning and business data analytics to enhance client service delivery
• Guiding teams in the application of insurance technology and transformation initiatives
• Supporting client engagements by addressing conflicts and facilitating difficult conversations
• Promoting technology innovation and integration to improve business processes
• Mentoring team members to develop skills and encourage growth beyond comfort zones
• Validating project deliverables to uphold professional and technical standards
• Building relationships with stakeholders to identify opportunities for business improvement

Property & Casualty Insurance Claims Operations Consultant, Manager

AI Engineer

• Developing innovative software solutions to drive digital transformation and enhance business performance
• Designing, coding, and testing applications to deliver exceptional user experiences
• Utilizing Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD) methodologies to improve software quality
• Managing application lifecycle and software project planning to meet client needs
• Implementing API management and microservices for seamless enterprise application integration
• Conducting code reviews and debugging to maintain coding standards and software reliability
• Collaborating with clients to analyze business requirements and deliver tailored solutions
• Applying analytical thinking and problem-solving skills to address complex software engineering challenges
• Leveraging programming languages such as Kotlin, Rust, and SwiftUI for application development
• Engaging in business process improvement and requirements management to optimize software solutions

Senior AIT AI Developer

Data Scientist

• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Designing and developing robust data solutions to transform raw data into actionable insights
• Conducting exploratory and descriptive analysis to inform strategic decision-making
• Utilizing machine learning algorithms and predictive modeling to solve complex business problems
• Creating data visualizations to effectively communicate insights and drive data-driven decisions
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Managing data pipelines and confirming data quality and integrity throughout the analysis process
• Applying data science workflows and troubleshooting techniques to optimize performance
• Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
• Mentoring junior team members and fostering a collaborative team environment

Senior AI Data Scientist

Director

• Leading strategic initiatives to optimize capital programs and infrastructure projects
• Analyzing client needs to develop operational strategies that enhance productivity and performance
• Guiding project teams in implementing efficient project management practices and mitigating risks
• Overseeing the development and execution of project delivery strategies to achieve successful outcomes
• Collaborating with clients to streamline processes and improve operational effectiveness
• Utilizing data analysis and interpretation to inform decision-making and project planning
• Driving innovation and promoting the use of advanced technologies in project management
• Mentoring and developing the next generation of leaders within the organization
• Building and maintaining executive-level client relationships to support business growth
• Identifying market opportunities and converting them into successful engagements for the firm

Director, Capital Project and Infrastructure – Sustainability

Client Services Representative

• Developing and executing Cyber Managed Services go-to-market strategies to drive revenue growth and exceed sales targets
• Identifying, qualifying, and managing new Cyber opportunities with Partners and MDs through close and project kick-off
• Building trusted relationships with key Cyber executives as a strategic advisor throughout the sales process
• Leveraging market research, threat intelligence, and competitive insights to position PwC’s Cyber value proposition
• Orchestrating subject matter experts, solution architects, and delivery leaders to design tailored Cyber solutions
• Translating Cyber strategy into actionable sales plans that shape client engagements and support KPIs
• Identifying Cyber market gaps and converting opportunities into successful outcomes for the Firm
• Staying current on the evolving threat landscape to advise clients and internal teams
• Partnering with delivery teams post-sale to support smooth transitions and exceed client expectations

Client Relationship Executive – Cyber Managed Services

• Developing and executing strategic sales initiatives to drive revenue growth and market penetration
• Building and maintaining strong relationships with key clients and stakeholders to enhance customer relationship management
• Leading cross-functional collaboration efforts to align sales strategies with organizational goals
• Coordinating sales programs and initiatives to optimize performance and achieve targets
• Utilizing analytical thinking to assess market trends and forecast market penetration opportunities
• Innovating and implementing creative solutions to address client needs and improve service excellence
• Mentoring and coaching team members to foster professional growth and development
• Promoting systemic thinking to identify and leverage strategic alliances for mutual benefit
• Applying a strategic mindset to guide decision-making and drive business outcomes
• Facilitating external relationships to expand the organization's network and influence

Client Relationship Executive – Managed Services

Product Manager

• Managing the lifecycle of software products from definition through release and end-of-life
• Collaborating with cross-functional teams to align product development with market demands
• Utilizing analytical thinking to break down complex concepts and inform product strategies
• Conducting competitive analysis to identify market opportunities and drive business growth
• Developing business cases and go-to-market plans for commercial products
• Engaging in customer needs analysis to enhance product offerings and user experience
• Leading product ideation and development activities to foster innovation
• Applying business process modeling to streamline product management workflows
• Interpreting data to generate insights and make informed recommendations
• Upholding professional and technical standards in product management practices
• Building meaningful client connections and managing stakeholder relationships
• Embracing change and navigating ambiguity to adapt to evolving business contexts

Senior Associate, AI Product Owner

QA Engineer

• Implementing quality standards in software development and testing processes
• Identifying and resolving software defects to optimize performance and enhance user experience
• Conducting functional and compatibility testing to validate software reliability
• Designing and managing quality assurance processes to improve software quality
• Collaborating with teams to develop and execute test cases and protocols
• Engaging in post go-live support to address and resolve any emerging issues

Senior AI Quality Assurance Associate

• Designing and implementing seamless integration solutions and robust platform architectures to optimize technology infrastructure
• Analyzing client requirements and developing technical designs to deliver innovative technology solutions
• Leading teams in the successful planning, budgeting, execution, and completion of projects
• Coaching and mentoring team members to leverage their unique strengths and manage performance
• Addressing conflicts and engaging in difficult conversations with clients and stakeholders

AI Architect Manager

• Leading data science initiatives to transform raw data into actionable insights for informed decision-making
• Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
• Developing and implementing data models and algorithms to enhance predictive capabilities
• Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
• Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
• Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
• Coaching team members to enhance their skills in data science workflows and troubleshooting
• Validating data quality and integrity within analytics frameworks to support reliable insights
• Encouraging the adoption of innovative technologies and methodologies in data science projects
• Managing project timelines and deliverables to align with client expectations and business objectives