below marketmost similar roles pay hereabove market
This role pays less than
58%
of similar roles. Most pay
$176,387–$224,012
— the blue band above.
At the midpoint, this role pays about
$180k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
243 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 171 roles with salary data.
The Manager, Digital Product Strategy joins the Design & Digital Products team to lead key workstreams focused on digital product strategy, product operating model transformation, and AI-enabled change. You will conduct assessments of product organizations, development practices, and governance while developing strategies that connect customer needs to technical realities. Day-to-day responsibilities include defining team structures, facilitating stakeholder sessions across business and engineering teams, and identifying opportunities for automation. You must demonstrate proficiency in product management, consulting, and transformation, with a specific focus on using AI to improve delivery, speed, and quality. Required skills include experience with agentic workflows, responsible AI considerations, and managing junior team members. You will solve complex problems by translating high-level recommendations into actionable operating rhythms and delivery implications for blended client and consulting teams.
Lead workstreams focused on digital product strategy, operating model transformation, and AI-enabled change.
Conduct assessments of product organizations, development practices, governance, and team structures.
Develop product strategies that align customer needs with business priorities and technical realities.
Define and mobilize operating models including team structures, governance, and ways of working.
Identify opportunities to use AI and automation to improve product development and customer outcomes.
Synthesize research and stakeholder input into clear strategic recommendations and client-ready presentations.
Facilitate working sessions with cross-functional teams across business, product, design, and engineering.
Manage and coach junior team members through daily guidance and work quality reviews.
What we're looking for
Must have at least 6 years of experience in product management, digital product strategy, consulting, transformation, innovation, or related work.
Must have experience leading client-facing workstreams and managing stakeholder relationships with Senior Managers, Directors, and occasionally VP or C-suite levels.
Must have experience developing product strategies, roadmaps, transformation plans, or operating model recommendations.
Must possess strong communication, synthesis, and problem-solving skills.
Must demonstrate the ability to define and mobilize product operating models, including governance, roles, team structures, and delivery ways of working.
Must have working knowledge of how AI creates value across product, delivery, operations, and customer experience.
Must demonstrate the ability to use AI to augment personal work and improve effectiveness, speed, or quality.
Must have familiarity with agentic workflows and responsible AI considerations such as governance, transparency, and human oversight.
Must have strong collaboration skills and experience managing or coaching junior resources.
Experience in Communications, Media, and Technology, retail, or consumer products (preferred).
Experience with product organization design, agile transformation, or operating model change (preferred).
Experience supporting commerce, omnichannel, customer experience, or digital portfolio transformation (preferred).
Experience in both consulting and industry settings (preferred).
Experience using AI to improve research, synthesis, planning, or delivery workflows (preferred).
Exposure to AI governance, observability, or adoption planning (preferred).
AI
Machine Learning
LLMs
NLP
Generative AI
Retrieval-Augmented Generation
Prompt Engineering
Data Architecture
Data Pipelines
Data Lakes
Data Warehouses
APIs
Data Governance
Analytics
Automation
Cybersecurity
Model Orchestration
AI
Machine Learning
UX Design
User Centered Design
Wireframes
Prototypes
User Flows
Model Governance
Information Security
Design Thinking
Automation
Product Roadmap