Data & AI Strategy Senior Manager (all genders) at Accenture

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Consulting, TechnologyIndustries

Requirements

Successful completion of a relevant degree at Master's or PhD level in disciplines such as mathematics, computer science, physics, engineering or economics
Extensive experience in Data & AI business development, with a strong track record in consulting and leadership roles across the banking and life sciences sectors in the Swiss market
Technical expertise in data analytics, data science, AI/GenAI and machine learning
Sound understanding of the consulting business and project management/delivery
Project-related mobility
Ability to work independently
Fluent communication skills in German and English
High level of customer orientation

Responsibilities

Expand standing in the ‘Data & AI’ market through business development
Develop market segment strategies and form the basis for the long-term growth of the team
Identify and maintain relationships and partnerships with key stakeholders across the banking and life sciences sectors
Drive strategic partnerships
Play an active role in client acquisition
Manage existing accounts to ensure long-term collaboration, client satisfaction, and business growth
Analyze market trends, competitors and client feedback to identify growth potential/opportunities
Further develop Accenture's product portfolio/offering
Support globally positioned companies in realizing the full potential of their data for innovative solutions in data science, machine learning and AI/GenAI
Build your own team of experts and visionaries

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningAIGenAIBusiness DevelopmentConsultingFinancial ServicesData StrategyLarge Scale DataTeam Leadership

Questions & Answers

Common questions about this position

What education is required for this role?

A successful completion of a relevant degree at Master's or PhD level in disciplines such as mathematics, computer science, physics, engineering or economics is required.

What technical expertise is needed for this position?

The role requires technical expertise in data analytics, data science, AI/GenAI and machine learning, along with a sound understanding of the consulting business and project management/delivery.

Is this a remote position or does it require office presence?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience makes a strong candidate for this position?

Candidates with extensive experience in Data & AI business development, a strong track record in consulting and leadership roles across banking and life sciences in the Swiss market, and project-related mobility stand out.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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