AI/ML Computational Science Sr Manager at Accenture

Bengaluru, Karnataka, India

Accenture Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Professional Services, ConsultingIndustries

Requirements

  • Any Graduation
  • 16 to 25 years of experience
  • Ability to identify and assess complex problems requiring in-depth knowledge of organizational objectives
  • Experience creating solutions in complex situations
  • Involvement in setting strategic direction and establishing near-term goals
  • Interaction with senior management levels at client and/or Accenture, involving negotiating or influencing on significant matters
  • Latitude in decision-making and determination of objectives and approaches to critical assignments
  • Decisions have lasting impact on area of responsibility and potentially outside
  • Manages large teams and/or work efforts (even if in individual contributor role)
  • Willingness to work in rotational shifts

Responsibilities

  • Define and govern the overall solution architecture blueprint across all SaaS deployments
  • Ensure architectural alignment between client objectives, platform capabilities, and configuration standards
  • Establish data architecture, integration strategy, and interoperability standards across modules and external systems
  • Design integration touchpoints, APIs, and data flow strategies between the SaaS platform and client systems (ERP, CRM, AI engines, etc.)
  • Ensure modularity and reusability of integration components; leverage platform-native integration tools
  • Collaborate with Product Engineering to define reference architectures and reusable templates
  • Act as part of the Technology for Operations team providing innovative and secure technologies to build intelligent operating models
  • Work closely with sales, offering, and delivery teams to identify and build innovative solutions

Skills

AI
ML
Computational Science
Enterprise Architecture
Strategy
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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