
Manager, IWM Data Consultant, Engineering AI & Data, Technology & Transformation
- Edinburgh London
- Permanent
- Full-time
- Managing teams to deliver data strategies and assessment of investment data architecture artefacts, 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.
- 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 modelling, data management, data quality, master data management, reference data, reporting and visualisation, analytics and self-service business intelligence
- Experience in data solution architecture e.g. establishing design principles, defining solution patterns while following architecture methodologies
- Experience developing a 'common language for data', including data models (all types), data dictionaries, data vocabularies, taxonomies or ontologies
- 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 enterprise solution/data architects to align data architecture 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
- IWM certifications such as CFA, CISI, CAIA are seen in a very good light
- Certified or interest in certification in Data and AI technologies (e.g. Microsoft Fabric, Snowflake, Databricks or equivalent) and experience in designing and delivering enterprise data solutions including toolset selection, effort and cost estimation
- Experience and knowledge in designing Data Products for the Asset Management industry
- 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