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Accenture

Advises businesses and runs their technology

Analytics Delivery Manager

Data & AnalyticsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A degree in any field is required.
  • At least 11 years of experience, including at least 5 years in marketing analytics and analytics automation leadership.
  • Hands-on knowledge of SQL or Python, strategic problem solving, client consulting, stakeholder management, and leading multidisciplinary teams.
  • Experience designing or implementing GenAI or LLM-powered analytics solutions, Agentic AI workflows, AI orchestration, and automation frameworks.
  • Exposure to advanced analytics techniques.
  • Familiarity with cloud data platforms, data engineering, APIs, and modern analytics architectures.
  • Proven experience driving AI transformation, productivity benefits, and scalable analytics solutions for global clients.

Responsibilities

  • Lead end-to-end delivery and transformation of marketing data and analytics services, including campaign analytics, audience insights, measurement, and reporting.
  • Drive AI or GenAI adoption, analytics automation, process optimization, delivery governance, and continuous improvement to enhance productivity, quality, scalability, and business outcomes.
  • Identify and drive AI, GenAI or LLM, Agentic AI, and automation opportunities across marketing analytics and operations.
  • Translate business challenges into AI-enabled solutions, transformation roadmaps, and measurable productivity initiatives.
  • Collaborate with AI, data science, engineering, and technology teams to implement and scale solutions.
  • Track adoption, efficiency gains, quality improvements, and business benefits.
  • Own end-to-end delivery of marketing analytics services, including campaign measurement, CRM analytics, audience insights, and reporting.
  • Manage delivery governance, resource capacity, prioritization, risks, dependencies, quality, and SLA or KPI performance.
  • Ensure timely delivery of accurate, actionable insights aligned with client objectives.
  • Identify process inefficiencies and opportunities to reduce manual effort through automation and standardization.
  • Design scalable future-state processes and operating models to improve productivity, turnaround time, and quality.
  • Translate client priorities into analytics and transformation initiatives as a trusted analytics advisor.
  • Lead stakeholder discussions on solution design, AI adoption, business cases, and implementation roadmaps.
  • Present insights, recommendations, and delivery performance to senior stakeholders.
  • Lead and mentor multidisciplinary analytics teams across analytics, business intelligence, data science, and engineering.
  • Manage resource planning, team performance, hiring, and capability development.
  • Foster an AI-first, innovation-driven, continuous-improvement culture.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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