Responsibilities
Requirement Gathering & Analysis
- Collaborate with business stakeholders to understand data & analytics requirements and translate them into actionable insights and solutions.
- Conduct gap analysis, feasibility studies, and impact assessments for data transformation initiatives. Facilitate workshops and discussions to clarify requirements, identify gaps, and propose solutions.
- Define and document business requirements, functional specifications, and user stories for data-related projects.
- Work closely with data engineers, data scientists, and technology teams to design scalable and compliant data solutions.
Stakeholder Management
- Act as the primary liaison between business users and technical teams, ensuring clear communication and alignment.
- Conduct training, user acceptance testing (UAT), and change management initiatives to maximize adoption of data solutions.
- Present findings, insights, and recommendations to senior management and executive leadership.
- Foster a data-driven culture by advocating for best practices in analytics and data management.
Project Management
- Lead end-to-end project management of data & analytics initiatives, from inception to deployment, ensuring timely delivery and alignment with business objectives.
- Develop project plans, timelines, resource allocation, risk management strategies, and status reporting.
- Coordinate cross-functional teams, including IT, data engineering, business intelligence, and regulatory teams.
- Manage vendor relationships and oversee third-party engagements where applicable.
- Drive Agile/Waterfall project methodologies, ensuring efficient execution and continuous improvement.
- Facilitate stakeholder meetings and communication across teams.
- Ensure project risks and dependencies are proactively managed.
- Work closely with overall Program/Project manager to ensure alignment on Program deliverables and cross-project dependencies.
Qualification & Skills
- Bachelor's degree in a related field (Business Administration, Computer Science, Data Science, or equivalent).
- Experience (5 to 7 years) as Project Manager, preferably in banking, finance, or data-related roles.
- Familiarity with data modelling, basic SQL, and other database management systems is a must.
- Strong understanding of data platforms, infrastructure, and analytic tools (e.g: DataIku, OAS, Denodo, Feature Store).
- Experience in UAT Testing and Test Management domain.
- Excellent analytical and problem solving skills.
- Strong communication and interpersonal skills with the ability to interact with technical and non-technical stakeholders.
- Experience with data governance, compliance and regulatory framework is a plus.
- Understanding in project management methodologies (e.g: Scrum, Agile).
