Director, Data and Analytics - Deal Advisory and Strategy

KPMG LLP; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

KPMG LLP in New York seeks a Director in Deal Advisory and Strategy Analytics to lead a team of data professionals delivering data-driven insights for deal applications. You will align data products with business needs, drive scalable pipelines and models, and supervise a diverse analytics team.

The role combines strategic leadership with hands-on architectural oversight, focusing on data governance, visualization, and performance across on-prem/Cloud environments in a fast-paced advisory

Qualifications

• Minimum ten years of experience in design, development and delivery of data driven solutions, including at least five years as manager of managers
• Experience with Azure Data Platform and data visualization tools in consulting context
• Strong communication and engagement with executives on data topics

Responsibilities

• Provide leadership to a team of Data Architects, Data Engineers, Data Visualization Engineers and Data Analysts
• Work with business leaders to understand their business needs and deliver data products/processes to support those needs
• Collaborate with multiple teams to design, develop, test, implement and support solutions in data engineering and analytics
• Provide technical leadership, direction and oversight to build reliable and scalable data pipelines, Common Data Models and data visualizations
• Mentor and guide members of your teams and contribute to thought leadership in data engineering and analytics capabilities

Skills

Team leadership

Strategic thinking

Communication

Client engagement

Agile project management

Education

Bachelor's in Information Systems/Technology or Computer Science

Master's or PhD preferred

Tools

Azure Data Lake

Azure Synapse

Azure Data Factory

Power BI

Azure ML

Job description

KPMG is currently seeking a Director in Deal Advisory and Strategy Analytics for our Deal Advisory practice.

Responsibilities:

• Provide leadership to a team of Data Architects, Data Engineers, Data Visualization Engineers and Data Analysts
• Work with business leaders to understand their business needs and deliver data products/processes to support those needs
• Collaborate with multiple teams to design, develop, test, implement and support solutions in data engineering and analytics
• Provide technical leadership, direction and oversight to build reliable and scalable data pipelines, Common Data Models and data visualizations
• Mentor and provide guidance to members of yours and other teams and contribute thought leadership focused on the development and evolution of our data engineering and analytics capabilities

Qualifications:

• Minimum ten years of recent experience in design, development and delivery of data driven solutions; including at least five years as manager of managers in data & analytics delivery
• Bachelors degree in Information Systems/Technology, Computer Science, any of the Engineering disciplines or a related field from an accredited college/university; Master?s or PhD from an accredited college/university preferred
• Minimum three years of Microsoft Azure Data Platform hands on experience as an architect on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, Azure ML with proven consulting and delivery leadership in Data Ingestion, Data Transformation, Data Modeling, Data Security, Data Governance, Data Visualization, Data Science
• Experience in Agile project management including planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
• Proven track record of managing customer-centric data driven solutions using Cloud native technologies (Azure) across a complex portfolio of stakeholders and fostering the development of high-performance teams (both onshore and offshore)
• Strong communication skills and ability to present complex information concisely through written & verbal communication; experience hosting interviews, brainstorms / workshops with business teams and executives on data-related topics / projects