Hybrid Enterprise AI Value Strategist

Accenture PLC

Wien

Hybrid

EUR 78,000 - 100,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Hybrid working

Access to AI initiatives

Learning and certifications

Mentoring and career development

Collaboration with technology partners

Job summary

Accenture PLC in Vienna seeks an Enterprise AI Value Strategist Manager to advise clients on creating and capturing value from AI and data. You will shape AI-enabled strategies, develop value cases and roadmaps, and lead large-scale delivery with senior stakeholders.

Role emphasizes Responsible AI, operating model design, and commercialization opportunities. Hybrid work options and extensive learning opportunities are offered; annual gross salary starts at €78,000, with compensation influenced

Qualifications

AI & data experience including solutioning, designing, or delivering AI & Data projects.
High-value consulting experience, including large-scale delivery and leadership of workstreams.
Experience in managing senior stakeholders.
Engineering problem-solving mindset — ability to apply technology creatively to complex business problems.
Strong program management and verbal and written communication skills.
Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities.
Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients.
Applicants must be fluent in German, both written and spoken

Responsibilities

Shape vision and create opportunities for data & AI led business reinvention.
Define and structure an organization’s data and AI strategy to build and optimize data assets and AI technologies for growth & competitive advantages.
Assess maturity of an organization's AI and data foundation. Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.
Create the business case, investment profile and roadmap to deliver on the strategy.
Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
Identify people, processes and technologies to develop and operationalize AI solutions.
Create strategy for AI-first products and develop commercialization opportunities.