Data & AI Senior Manager

Overview

In this senior role, you will lead data and analytics delivery for clients across industries, shaping solutions with cross-functional teams. You will partner with developers, data scientists and engineers to deploy analytics that generate business value, and you’ll guide teams through fast-paced client projects. You’ll build compelling narratives for senior leadership and help grow Accenture’s data and AI capabilities. This is a chance to work with global brands, drive transformation and contribute to scalable, responsible analytics.

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 and partners

Responsibilities

• Understand client problems and map analytics solutions to business value across industries
• Lead delivery of client projects and build high-performing teams
• Partner with developers, engineers and data scientists to deploy analytics at scale
• Translate complex problems into actionable analytics approaches and technology selections
• Create dashboards and tooling (e.g., PowerPoint/storytelling) to guide senior leadership
• Manage client relationships, deliverables, and project challenges
• Share knowledge and mentor others; contribute to selling opportunities and client relationships
• Develop industry and technical knowledge to support growth of analytics capabilities and opportunities

Key requirements

• Experience managing complex projects and leading teams to successful outcomes
• Broad awareness of global economic, technology and social trends affecting clients
• Business strategy acumen, including value opportunities for data and analytics and operating model design
• Proven track record building high-caliber teams and delivering for clients across multiple accounts
• Sales acumen; ability to identify and manage opportunities in client engagements
• Understanding of database technologies (SQL, ETL, No-SQL, DW) and Big Data (Hadoop, Mahout, Pig, Hive)
• Understanding of statistical modelling (classification, regression, neural networks, Markov chains)
• Cloud technologies (AWS, GCP, Azure)
• Adept at engaging with stakeholders at all levels and negotiating outcomes
• Strong critical thinking and pragmatic problem-solving for client challenges

• Stakeholder management
• Persuasive communication
• Leadership and team development
• SQL
• ETL
• No-SQL

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