Product Manager (Consultant/Senior Consultant) – Finance ERP & Digital TransformationWe are seeking an experienced Product Manager (Consultant/Senior Consultant) specialising in Finance ERP platforms and digital transformation. In this role, you will lead the planning, delivery, and optimisation of finance-related technology initiatives in partnership with internal and external stakeholders for various clientle projects
Key ResponsibilitiesProject & Product Planning:Develop and maintain detailed project plans, timelines, and milestone schedules with contracted vendors.Lead feature planning and prioritisation based on user feedback, business impact, technical complexity, and regulatory requirements.Decompose high-level objectives into actionable plans and contribute strategically to project vision.Product Strategy & Performance:Collaborate with stakeholders and contractors to define product roadmaps and success metrics.Monitor performance against benchmarks and report status to senior leadership.Maintain centralised documentation and ensure best practices in knowledge management.Problem Prioritisation & Impact Assessment:Evaluate and prioritise issues based on user impact, business value, feasibility, resources, and alignment with strategy.Agile Delivery:Facilitate daily standups and agile ceremonies (sprint planning, reviews, retrospectives).Partner with end users to define acceptance criteria for deliverables.Monitor technical debt and recommend adjustments to optimise reliability and performance.Technical Analysis & Risk Management:Conduct gap analyses between vendor solutions and requirements, identifying integration/customisation needs and technical debt.Analyse complex data (problem statements, user pain points, capability gaps, etc.) to drive actionable recommendations.Identify improvement opportunities and support solution development aligned with project goals.
Mandatory Skills & Experience/RequirementsBachelor’s degree in Information Technology, Computer Science, Business Administration, Finance, or related fields.Certification in Agile Scrum Master, Product Management, or equivalent project/product management qualification.At least 7 years of product management experience with Finance ERP platforms.Experience in at least 1 full cycle of Agile or hybrid Agile/Waterfall product implementation.High proficiency in analysing business requirements and translating them into system functionality.Excellent analytical, problem-solving, and communication skills.Experience working with both senior and junior stakeholders.
Preferred/Advantageous Skills & ExperienceExperience with digital transformation initiatives, preferably in government or regulated environments.Experience in financial industry settings (e.g., Banking, Insurance).Certification in major finance ERP platforms (e.g., SAP, Oracle).
Technical Stack / Domain KnowledgeFinance ERP Platforms: SAP, Oracle, or similar.Project Management: Agile, Waterfall, or hybrid methodologies; project planning and tracking tools.Business Analysis: Requirements gathering, gap analysis, and process mapping.Reporting & Documentation: Status reporting, centralised documentation, and knowledge management.Stakeholder Management: Coordination with cross-functional teams, vendors, and leadership.Risk & Compliance: Understanding of regulatory requirements and risk management in finance/ERP projects.
Primary Responsibilities:Design and develop comprehensive change management programmes for organisational transformationConduct change readiness assessments and develop tailored transformation roadmaps for divisionsDevelop and deliver experiential learning, bootcamps, and capability-building programmes to embed new ways of workingCreate and implement cultural transformation and mindset development interventionsDesign structured networking and mentorship programmes to enable cross-divisional collaborationContribute change management expertise to strategy and programme designFacilitate leadership engagement sessions to secure commitment and alignmentImplement change interventions using hands-on experimentation and structured processesSupport digital innovation initiatives and platform transitions with change management consultationCoordinate and deliver cross-divisional networking events and mentorship programmesEstablish and maintain change networks and communities of practiceProvide ongoing mentorship and coaching to change champions and advocatesCollaborate with corporate functions to identify transformation enablers and address systemic barriersMonitor transformation progress, assess intervention effectiveness, and report on outcomesSupport governance model transitions through continuous change management oversight
Key Requirements:Mandatory Skills:Change management methodology and toolsStakeholder management and facilitationCapability building and learning designStrong communication and collaboration skillsExperience in complex, multi-stakeholder environments3 to 5 years in change management, organisational development, or transformation roles
Preferred / Optional Skills:Agile methodologies and product management approachesChange management certification (e.g., Prosci, ADKAR, Kotter)Experience in the education or public sector is a plusExperiential learning and adult learning design
Data Scientist (Consultant) – AI & AnalyticsWe are seeking an experienced Data Scientist (Consultant) specialising in AI and Analytics. In this role, you will be responsible for developing and deploying data science and Generative AI solutions to support strategic initiatives across clientele projects/requisitions.
Key ResponsibilitiesCollaborate with business/project stakeholders to gather and translate business requirements into technical solutions for AI/ML use cases.Research and assess emerging AI/data science techniques (e.g., Agentic, LLM, Predictive Analytics, Fraud Detection, Text Analytics, Customer Segmentation) for business adoption.Perform data wrangling, preprocessing, cleaning, and feature engineering to prepare datasets for model development.Develop, test, and implement AI/ML models (regression, classification) and support their integration into business workflows.Build and maintain backend APIs and services for AI model deployment and integration with existing systems.Develop frontend interfaces and user experiences for AI-powered applications.Support the daily operations, monitoring, and maintenance of deployed data science models and products, including virtual assistants and AI bots.Document changes to existing products, ensuring clear and up-to-date technical and user documentation.Plan and coordinate with cross-functional teams on the implementation, enhancement, and upgrade of AI/ML solutions.Review and implement fixes for reported security vulnerabilities in deployed solutions.Oversee change management to facilitate adoption of new AI/ML products, including workflow/process re-engineering as needed.Present technical concepts and findings to both technical and non-technical stakeholders.
Mandatory Skills & Experience/RequirementsBachelor’s degree in Computer Science, Computer Engineering, Data Science, AI, or related disciplines.At least 1 year of relevant working experience in data science, AI/ML model development, or analytics.Proficiency in Python and key data science packages (e.g., pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy).Experience in requirements gathering, solution design, and implementation of AI/ML models.Familiarity with LLM concepts (context windows, embeddings, chunking, token management) and architectures (e.g., RAG).Strong analytical, critical thinking, and problem-solving skills.Proficiency in test planning, UAT, and technical/user documentation for AI/ML solutions.Effective communicator (written and verbal) with the ability to explain complex technical concepts to stakeholders at all levels.Experience working with cross-functional teams and managing concurrent projects is a plus.
Technical Stack / Domain KnowledgeProgramming & Tools: Python, git, SQL; experience with business intelligence tools (e.g., Tableau, Qlik, Power BI, Microstrategy).AI/ML Techniques: Regression, classification, feature engineering, prompt engineering, LLMs.Cloud & DevOps: Experience with cloud platforms (preferably AWS), Docker/Kubernetes.Web & API Development: Experience with backend frameworks (FastAPI, Flask, Express.js), RESTful APIs, and frontend technologies (React, Vue.js, HTML/CSS, TypeScript).AI/LLM Frameworks: Familiarity with LangChain, LlamaIndex, Hugging Face Transformers.Data Management: Knowledge of vector databases (Pinecone, Chroma, FAISS) and embedding techniques.Statistical Tools: Proficiency in R or SAS is advantageous.Security: Understanding of security vulnerability management in deployed solutions.
