Management Consulting Senior Manager – Data & Analytics (Risk)

Overview

As Senior Manager – Data and Analytics within Accenture Risk Consulting, you lead large-scale data transformation programs for financial services clients. You will advise senior stakeholders on data challenges, governance, and AI-enabled analytics, shaping solutions across data, technology, and risk domains. You’ll work with cross-functional teams, contribute to business development, and mentor teams on complex engagements. This role offers global exposure, cutting-edge tooling, and opportunities to travel and impact risk management at scale.

Pay / Benefits

• 30 days vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work
• flexibility and mobility to work onsite with clients

Responsibilities

• Lead major, complex transformation programs for UK and global financial services clients focusing on data and data transformation
• Direct complex consulting engagements with substantial client interaction under regulatory scrutiny
• Act as trusted advisor to senior stakeholders on data, technology and governance challenges
• Be agile and agnostic to solutions across varied client contexts and maturity levels
• Travel to client sites as required (25%–100% depending on engagement)
• Write and develop points of view on industry trends
• Support development of sales proposals and offerings and build commercial acumen
• Contribute data and data management SME knowledge to internal and external stakeholders
• Build a global network across Accenture teams and clients
• Develop and manage Go To Market strategy and sales pipelines with account leadership

Key requirements

• Experience in financial services in advisory, analytics, operations or leadership roles covering data risk, data management, governance and modern data architecture
• Understanding of regulatory expectations for data (e.g., BCBS239) and experience delivering data programs in FS
• Experience applying AI to improve data usage, management, monitoring and reporting in FS
• Strong background in semantic data representations, modern data tooling, data lineage, quality and enrichment
• Proven programme management and team leadership skills with experience leading large teams
• Ability to craft solutions to complex tech problems aligned with client needs
• Willingness to travel (25%–100%)

• Stakeholder engagement and advisory presence
• Strong communication and presentation skills
• Adaptability and cross-functional collaboration
• Modern data architecture
• Cloud-based data tooling
• Advanced analytics

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