Accenture

Product Management Manager

Accenture
BusinessSingaporeFull-time3 weeks ago

About the role

AI summarised

The Product Management Manager at Accenture drives the vision, strategy, and roadmap for AI-enabled digital products, partnering with business and technology stakeholders to translate needs into product capabilities and ensure successful delivery through collaboration with engineering teams.

BusinessFull-time

Key Responsibilities

  • Define and drive the product vision, strategy, and roadmap for AI‑enabled product initiatives
  • Lead cross-functional teams to ensure alignment on product goals, delivery timelines, and value outcomes
  • Conduct market, user, and competitor research to identify trends, unmet needs, and opportunities for product growth
  • Facilitate workshops and brainstorming sessions to foster innovative thinking and unlock new product concepts
  • Collaborate with engineering teams to ensure rapid, high-quality delivery and effective time‑to‑market
  • Monitor product performance, collect feedback, and prioritize improvements based on user insights and business impact
  • Build strong relationships with stakeholders to secure alignment, gather input, and support product adoption
  • Provide leadership, guidance, and decision support to the product team, resolving issues across multiple workstreams

Requirements

  • Advanced proficiency in Product Development Strategy, Product Innovation Strategy, and Product Management
  • Proven experience leading end‑to‑end product lifecycle activities, from strategy to delivery
  • Strong background in developing or enabling AI‑powered digital products or platforms
  • Experience collaborating with engineering, design, and business teams in fast-paced delivery environments
  • Ability to translate business needs into product features with clear value propositions
  • Strong analytical, communication, and stakeholder management skills
  • Demonstrated ability to lead teams, drive decisions, and solve problems across multiple groups
  • Experience in agile product development environments
  • Familiarity with data, analytics, or AI-driven product features
  • Background in consulting or large-scale enterprise product delivery
  • Exposure to design thinking, journey mapping, or innovation frameworks