AI/ML Computational Science Manager at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Professional ServicesIndustries

Requirements

Any Graduation
13 to 18 years of experience
Experience in Product Management by applying Product Management principles
Experience in multiple domains in launching/acquiring new products/offerings
Solid experience in working with client/customer management teams to achieve product objectives

Responsibilities

Manage the end-to-end product development process from conception to design and production start-up, including product structure design, engineering requirement process, multi-function resources collaboration, and engineering and supply chain integration
Identify and assess complex problems for area of responsibility
Create solutions in situations requiring in-depth evaluation of variable factors
Adhere to strategic direction set by senior management when establishing near-term goals
Interact with senior management at client and/or within Accenture, involving matters that may require acceptance of an alternate approach
Act independently to determine methods and procedures on new assignments
Make decisions that have a major day-to-day impact on area of responsibility
Manage large to medium-sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture

Skills

Computational Science

Product Development Management

Product Management

Intelligent Automation

Application Hosting Operations

Infrastructure Management

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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