Associate Practice Engagement Manager - Data Analytics & AI

Job DescriptionAbout 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 www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.Role: Associate Practice Engagement Manager, Data Analytics & AILocation: Japan (Tokyo Office)Job SummaryInfosys 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 PracticeInfosys 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 InfosysandseeourideasinactionpleasevisitusatRole 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. Identify areas for improvement and implement strategies to optimize sales effectiveness and efficiency 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 preferredPreferred Qualifications: Knowledge of industry specific go-to-market solutions Global Delivery Model experience Experience managing large multi-location consulting engagement teams Technical Skills & Experience RequiredCandidates 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 Infosys is an equal opportunity employer and encourages applications from: Minority/Female/Veteran/People with Disability/Sexual Orientation/Gender Identity/National OriginAt 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 only onPlease 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.