Provide ongoing training to the sales team, ensuring they are well-equipped with the necessary skills and knowledge.
Have in-depth knowledge of the products or services being sold and communicate effectively to both the team and clients.
Present and showcase the value proposition of the offered products or services to clients during sales pitches, trade shows, or other opportunities.
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Build and maintain People metrics, scorecards, and dashboards across the employee lifecycle, covering engagement, productivity, skills, and cost, designed for usability by non-technical audiences and not just analytical accuracy.
Design and ship self-service tools and workflows, including integrations with internal platforms such as Valet and Cortana, that enable managers and leaders to conduct their own people analysis without PSI mediation.
Transform existing People assets (e.g. the People Impact Card) from static summaries into automated, insight-driven outputs with actionable recommendations and just-in-time nudges.
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Root-Cause Analysis & Problem Solving: Interact directly with stakeholders to resolve data quality issues using techniques like root-cause analysis, continuously improving trust and confidence in our enterprise data products
Platform Ownership: Utilize and manage enterprise data quality and cataloging platforms (e.g., Informatica DQ, Collibra DQ, Ataccama)
Governance Alignment: Support Data Governance teams in deploying observability practices and ensuring compliance with enterprise data quality and fitness standards
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Premier Scholars International Academy is looking for a passionate and dedicated ICT Teacher to join our growing academic team.
Requirements
- Degree in ICT, Computer Science, Information Technology, Education, or a related field.- Experience teaching or tutoring ICT subjects is an advantage.- Strong knowledge of ICT and computer-related subjects.- Excellent verbal and written communication skills.- Good classroom management skills.- Able to prepare engaging lesson plans, teaching materials, and assessments.- Patient and supportive when guiding students.- Good organizational and time-management skills.
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Build and validate proof-of-concepts (POCs), prototypes, and reference architectures for new AI use cases and technologies.
Develop and integrate AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, automation workflows, predictive analytics, and intelligent knowledge systems.
Design and implement system integrations through APIs, databases, cloud platforms, and enterprise applications.
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Root-Cause Analysis & Problem Solving: Interact directly with stakeholders to resolve data quality issues using techniques like root-cause analysis, continuously improving trust and confidence in our enterprise data products
Platform Ownership: Utilize and manage enterprise data quality and cataloging platforms (e.g., Informatica DQ, Collibra DQ, Ataccama)
Governance Alignment: Support Data Governance teams in deploying observability practices and ensuring compliance with enterprise data quality and fitness standards
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Seeking feedback and guidance from your manager and team to continuously improve your skills and performance.
You are currently pursuing a bachelor’s degree in engineering, specializing in Electrical, Electronics, Mechanical, Mechatronics, Computer Science, Industrial Engineering or related fields.
Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
...