You may be assigned as Level 2 AMS support between Business/Client IT Team, partnering systems, and Application Managed Services (AMS) team. In this role, you are expected
Cultivate and manage senior executive relationships, positioning the firm as a trusted advisor on AI governance, accountability, and Trustworthy AI adoption.
Design and deliver decision-ready research and insights across topics including growth strategies, competition, innovation, industry disruptions – using secondary research tools, techniques, and databases.
Support software asset management activities throughout the software lifecycle, including software inventory, deployment, usage tracking, and licence compliance.
Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
Cultivate a culture of continuous improvement, focusing on Lean Six Sigma (LSS) methodologies and promoting data led statistical impact and decision making for our clients.
Demonstrate proficiency in technical programming by managing and guiding teams in designing, developing, and implementing scalable infrastructure solutions. Act as the primary technical liaison, bridging communication between business stakeholders, project teams, and developers/testers.
Conduct cloud security assessments across hyperscalers including AWS, Microsoft Azure, and Google Cloud Platform, evaluating configurations against security baselines and benchmarks (e.g., CIS Benchmarks, cloud provider security frameworks, CSA CCM).
Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).