Senior Director - Data Platforms & Architecture

Responsibilities

• Practice area financial performance (Utilization, Margin, Investments).
• Key project client success focus and oversight through their team and personal executive sponsorship engagement.
• Coaching delivery teams in key projects and regularly sharing written feedback with managers.
• Partnering with People Excellence to manage the capacity and capability of our team.
• Ensuring the team has clear guidelines and resources for learning capabilities important to the practice area.
• DRR & SRR review and approvals with the support of principal architects.
• Supporting and optimizing project staffing to ensure the optimum client experience.
• Driving technical excellence function within the practice area, supporting architecture and other reviews on projects via the principal architects and others in their team.
• Ensuring rapid resolution of technical escalations with a focus on client experience (with the support of direct reports) and integrating lessons learned back into our approaches and employee feedback.
• Drive special client experiences through briefings, expert sessions, and other ways to engage outside of our billable work.
• Partner with the Solution Architecture (SA) team to create Service Delivery Frameworks to align technology and delivery strategy with solution positioning in scoping and increase consistency in delivery experience.
• Create and manage practice technology strategy, client journey, and delivery patterns for solution areas within the practice.
• Client success evangelism and ensuring that we're regularly celebrating success and our influence on our clients.
• Support IP roadmap, capture, and integration to Solution Engineering Team along with toolkit feature priority for internal development.
• Lead periodic quarterly briefings for the team on tech roadmap, lessons learned on projects, delivery pattern recommendations, and other thought leadership topics

Requirements

• 8-10+ years of relevant technology business leadership experience within a consultancy.
• Expertise in modern data engineering preferably Azure in data warehousing, data lakes, and lake house architecture.
• Broad experience in multiple competency areas of data and analytics delivery including data governance, data architecture, data integration, data classification, data analysis, data visualization, data quality management, data security and privacy, MDM, data standards, regulatory compliance and enterprise architecture frameworks.
• Deep knowledge of industry best practices.
• Exceptional written and verbal communication skills across multiple audiences, as well as demonstrated ability to manage business stakeholder relationships.
• Experience managing data practitioners, including definition of team processes, responsibilities and expectations. A high level of organization and the ability to prioritize tasks and keep projects on schedule.
• Bachelor's degree preferred.