Advisory manager állások, munkák

• Leading the Advisory team of 8–10 consultants and advisors
• Managing, coaching and developing the Advisory team
• Setting methodologies, toolkits and quality standards for Data & AI strategy, governance and change management
• Allocating people across a portfolio of concurrent engagements

  SENIOR CONSULTANT / ASSISTANT MANAGER – DEAL ADVISORY – TECH COE DISCOVER KPMG – BECOME PART OF OUR TEAM With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG...

Drive transactions in the Swiss and international marketplace, providing sell-side, buy-side, and capital raise advisory services to our discerning LS&HC clientele in Switzerland and abroad...

Drive transactions in the Swiss and international marketplace, providing sell-side, buy-side, and capital raise advisory services to our discerning LS&HC clientele in Switzerland and abroad...

Technology due diligence: Lead assessments of technology landscapes, applications, infrastructure, cloud, data, cybersecurity, operating models and technology spend to identify deal-relevant risks and opportunities....

M&A Integration and Separation leadership: bring a forward-looking approach and tailored methodologies to client situations, to lead complex M&A separations and integrations....

Technology due diligence: Lead assessments of technology landscapes, applications, infrastructure, cloud, data, cybersecurity, operating models and technology spend to identify deal-relevant risks and opportunities....

• Kapcsolat fejlesztése az ügyfelekkel, CFO-val és főkönyvelővel történő rendszeres kapcsolattartás során, kiemelkedő minőségű szolgáltatás nyújtása
• Új üzleti szolgáltatások kidolgozása, a számviteli és technológiában lévő lehetőségek felderítése

• End-to-end management of modern data platform implementations built on Databricks
• Running all scrum ceremonies for data engineering and data science teams
• Tracking budgets and optimizing compute costs
• Managing technical risks such as data quality and pipeline bottlenecks

• End-to-end management of modern data platform implementations built on Databricks
• Running all scrum ceremonies for data engineering and data science teams
• Tracking budgets and optimizing compute costs
• Managing technical risks such as data quality and pipeline bottlenecks