Data & AI Senior Manager

Overview

As a Data & AI Senior Manager, you will lead client analytics initiatives within Accenture’s Applied Intelligence team, translating data into impactful insights. You’ll partner with cross-functional teams to deliver analytics-driven outcomes across industries, shaping solutions that scale. You’ll guide delivery, build high-performing teams, and nurture senior client relationships to create ongoing value. This role combines strategic selling, technical leadership, and hands-on delivery in a global, innovation-driven environment.

Pay / Benefits

• 30 days’ vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work
• extensive benefits package

Responsibilities

• Lead delivery of client analytics projects and manage complex engagements
• Partner with developers, engineers and data scientists to deploy analytics and scale solutions
• Translate client problems into actionable data and analytics strategies and approaches
• Create compelling dashboards and stories for senior leadership guidance
• Build and lead high-performing teams to deliver fast-paced projects
• Manage client relationships, ownership of deliverables, and project challenges
• Share knowledge verbally and in writing and support business development
• Develop industry and technical expertise to support opportunities with clients and new business

Key requirements

• Experience managing complex projects and leading teams
• Awareness of global trends affecting clients
• Business strategy acumen and opportunity identification for data/analytics
• Proven ability to develop high-caliber teams and meet expectations
• Sales acumen for identifying and managing opportunities
• Understanding of database technologies (SQL, ETL, No-SQL, DW) and Big Data (Hadoop, Mahout, Pig, Hive)
• Knowledge of statistical modelling (classification, regression, neural networks, Markov chains)
• Understanding of cloud technologies (AWS, GCP, Azure)
• Track record of client success across multiple accounts and stakeholder negotiation

• Strategic thinking
• Stakeholder management
• Strong communication and storytelling
• SQL
• ETL
• No-SQL

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