The role holder identifies and defines opportunities, builds the business case for each initiative, and leads delivery through internal technology functions and delivery partners. Initiatives are held to their intended outcomes, adoption and benefits, not go-live alone. This is a hands‑on role.
The role holder personally designs, builds and deploys data, analytics, automation and AI solutions, and coordinates multidisciplinary teams.
Responsibilities:
Provide analysis and recommendations to help develop DHI s technology, data and digital transformation agenda, for review by the Executive Director Portfolio Operations and Intelligence.
Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.
Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.
Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision‑making through data, analytics, automation and AI.
Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.
Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.
Build and maintain ETL/ELT processes and data transformation workflows.
Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.
Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end‑to‑end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.
Lead end‑to‑end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.
Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.
Requirements:
6 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.
Demonstrated experience personally taking a problem through to a production‑grade product.
Bachelor s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.
Advanced degree, such as an MBA, preferred.
Technology, data and digital transformation planning and roadmap development
Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry
Desired Candidate Profile
6 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.
Demonstrated experience personally taking a problem through to a production‑grade product.
Bachelor s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.
Advanced degree, such as an MBA, preferred.
Technology, data and digital transformation planning and roadmap development
Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry