Senior Manager, Investment Management & Wealth Data Management Professional - AI & Data, Technology
- Managing teams to deliver data strategies and assessment of data processes, identifying and quantifying inefficiencies, and contributing to the design and implementation of improvements.
- Managing the development of compelling proposals and pitches that showcase innovative solutions for enhancing clients' operating models.
- Managing the development of business cases, identifying cost-saving opportunities, and collaborating with senior team members to deliver sustainable results for clients.
- Conducting methodical research, analysing large qualitative and quantitative data sets, and shaping recommendations with support from experienced consultants.
- Managing the evaluation and application of emerging technologies and innovative approaches to shape strategy, design operating models, define principles and roadmaps, and contribute to the delivery of transformation initiatives.
- Contributing to strategic and operational reviews of organisations or specific functions, working as part of a team to analyse processes at various levels.
- Assisting in organising insights and developing compelling narratives to effectively communicate recommendations to clients.
- Contributing to development of data strategies related to GenAI and development technologies
- Working on client facing projects
- Experience of contributing to proposal writing, presentations and pre-sales activities
- Excellent problem solving and analytical skills
- Strong executive-level stakeholder interaction using clear communications and be able to form strong client relationships
- Experience and expertise in functional areas in Investments and Wealth Management, such as (not all): Financial product, Wealth management products, trading and execution, portfolio management, derivatives, risk modelling/monitoring, pricing, market data, custodian systems, ESG data solutions, third party data and risk systems (Bloomberg, MSCI, Sand P, Refinitiv, Charles River, Fitch, IHS Markit, SnowFlake, Denodo)
- Manager experience as a leader of people in workstream, providing dynamic day-to-day leadership that nurtures and develops junior talent, creating effective data design teams
- Strong understanding of data solutions, including data management, data quality, master data management, reference data, reporting and visualisation, analytics and self-service business intelligence
- Demonstrate an understanding of data modelling principles and familiarity with processes, policies and any of the key data modelling tools
- Experience in engaging with both Business and IT stakeholders to document business outcomes and objectives for large-scale solutions and programmes
- Led data design workshops, including defining client requirements, document data models and reviewing output with stakeholders
- Experience in working with peers and senior data managers to align data management blueprints across different business units and geographies
- Be able to assimilate and apply new techniques and knowledge to achieve business outcomes
- Experience of leading multi-disciplinary teams in fast-paced project environments and demonstrate personal resilience
- Ability to lead and manage 'go-to-market' activities such as responding to RFI / RFPs and developing high-quality proposal materials
- Work within an inclusive team culture where people are recognised for their contribution helping them grow their career in Deloitte
- IMW certifications such as CFA, CISI, CAIA is a plus
- Demonstrate a good understanding of Data / Information Governance principles and familiarity with processes, policies and any of the key vendor platforms such as Collibra, Informatica
- Project Management experience of both waterfall and agile delivery approaches
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