I&F Decision Sci Practitioner Assoc Dir

Accenture · London, England ·

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Overview

As an AI & Data Associate Director in Applied Intelligence, you will lead data-driven client work across multiple industries, shaping analytics strategies and delivering value through data, AI and cloud solutions. You’ll partner with cross-functional teams to deploy analytics, mentor high-performing teams, and manage client relationships to advance transformation. This role offers exposure to global clients, cutting-edge technologies, and opportunities to create measurable impact. You’ll help grow Accenture’s data and analytics capabilities while working with renowned brands.

Pay / Benefits

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

Responsibilities

  • Understand client needs across industries to leverage data and analytics for business impact
  • Lead delivery of client projects with deep industry knowledge
  • Partner with developers, engineers and data scientists to deploy analytics at scale
  • Break down client problems with awareness of technology, analytics methods and operating models
  • Create dashboards, analytical tools or presentations to guide senior leadership
  • Build and lead high-performing teams to deliver fast-paced projects
  • Manage client relationships, deliverables and project challenges
  • Share knowledge verbally and in writing
  • Develop opportunities to sell analytics capabilities to clients
  • Foster ongoing senior client relationships and new business opportunities

Key requirements

  • Direct experience managing complex projects and leading teams
  • Broad awareness of global, economic, technology and social trends affecting clients
  • Business strategy acumen: value opportunities, operating model design
  • Proven experience developing high-caliber teams
  • Sales acumen 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, etc.)
  • Understanding of cloud technologies (AWS, GCP or Azure)
  • Track record of success with clients across multiple accounts
  • Ability to operate at all client stakeholder levels
  • Strong negotiator with stakeholder alignment skills
  • Excellent critical thinking and pragmatic problem solving
  • strong communication
  • leadership
  • client relationship management
  • SQL
  • ETL
  • No-SQL
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