About Infosys:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in over 56+ countries to navigate their digital transformation.
With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.
We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Visit to see how Infosys (NYSE:
INFY) can help your enterprise navigate your next.
Role:
Associate Practice Engagement Manager, Data Analytics & AI
Location:
Japan (Tokyo Office)
Job Summary:
Infosys is seeking an Associate Practice Engagement Manager for its Data & Analytics Practice. The Associate Practice Engagement Manager (APEM) is responsible for all client interfaces within the assigned account scope.
The APEM works together with their manager to build accounts plan and is responsible for client management based on the account plans.
Usually, the APEM handles multiple accounts, with an indicative annual book of business of up to $10 million.About Infosys Data & Analytics Practice
Infosys partners with clients to empower their people with data that makes it possible for them to monetize data by making "DataDoMore".
We use our unique 'art of possible' approach to create a framework that brings together strategic ideas along with powerful data, advanced analytics and AI to create an integrated IT and business blueprint for the enterprise to align priority outcomes.
To learn more about Infosys and see our ideas in action please visit us atRole description:
Client relationship management and business development:
Manage client relationships, build a portfolio up to $ 5M-10M, own the opportunity management cycle: Prospect-Evaluate-Propose-Close
Drive the sales strategy for data and analytics services, and identify and pursue new business opportunities in a specific vertical
Develop and maintain a robust pipeline at any given point in time, collaborating closely with vertical sales teams and engaging directly with clients
Act as a trusted advisor to clients, understanding their unique business challenges and requirements. Present tailored solutions that align with their strategic objectives, effectively demonstrating the value proposition of our data and analytics services
Client delivery assurance:
Work closely with internal teams, including delivery, consulting, CTO Organization, marketing, AI and analytics team, to ensure alignment between client expectations and service offerings
Collaborate with technology providers and partners to enhance our service capabilities and address client needs comprehensively
Account planning and governance:
Create the account plan including relationships required, opportunities to be pursued, price decisions, etc.
Performance Tracking:
Monitor sales performance metrics, such as revenue attainment and pipeline growth, bottom-line performance and provide regular updates to senior management.
Required Qualifications:
Bilingual with strong business Japanese skills (JLPT N1/N2).
Must be a Japanese national or have valid work authorization in Japan. Sponsorship is not available at this time.
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education and 10+ years of experience, with strong sales/relationship management/account management experience
Significant business development and project management experience
Track record of interacting and building relationships with CXO level client contacts
Hands-on experience with proposal creation and leading proposal presentations
Strong leadership, interpersonal, communication and presentation skills
Wide variety of IT and business consulting engagement experience
Data analytics and AI experience preferred
Preferred Qualifications:
Knowledge of industry specific go-to-market solutions
Global Delivery Model experience
Experience managing large multi-location consulting engagement teams
Technical Skills & Experience Required
Candidates must have mid-level technical understanding and strong pre-sales experience in the following areas:
Data Engineering & Management
ETL Tools:
Informatica, Talend, Apache NiFi
MDM Platforms:
Informatica MDM, IBM InfoSphere, Reltio
Data Warehousing & Integration:
Snowflake, Azure Synapse, AWS Redshift
Data Visualization
BI Tools:
Power BI, Tableau, QlikView
AI & Machine Learning
AI Models & Platforms:
OpenAI, Azure ML, AWS SageMaker
Looking for functional consultants who have worked in AI
Use Cases:
(Any one or two)
Recommendation Engines
Personalization (Retail)
Predictive Maintenance (Manufacturing)
Supply Chain Visibility
Factory Automation + AI
Healthcare AI:
Clinical Trials, Drug Discovery
Autonomous Vehicles (Engineering/Mfg)
Exposure to cloud platforms:
Azure, AWS, GCP
Understanding of data architecture and governance frameworks
Industry Focus (Any one)
Manufacturing (MFG)
Engineering
Healthcare & Life Sciences
Retail/Consumer & Logistics
At Infosys, we recognize that everyone has individual requirements.
If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email or call Alternatively, you can include your preferred method of communication in email, and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors.
In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile.
All recruitment activity must be coordinated through the Talent Acquisition department."All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."
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