Practice Lead, Data & Analytics

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.

Qvest US is seeking an experienced Data & Analytics practitioner to lead our US Data & Analytics practice. You will be responsible for leading the D&A practice including technical direction, business development, team development and project delivery. This includes leading interactions with customers and channel partners, as well as internal stakeholders to promote the Qvest D&A practice and actively participate in the growth of Qvest.

The Practice Lead will work closely across Practices, Business Units, and Sales & Marketing to communicate strategy, offerings, and innovation within the practice, identifying opportunities for new and existing services and solutions that can be offered to clients. The role will also be responsible for working closely with clients in identifying their business needs and providing technical solutions. You will provide operational management on a regular basis to ensure that the business is set up to successfully impact Qvest revenue, retention, growth, and customer satisfaction.

• P&L Management and Business Development
• Take responsibility for the Data & Analytics practice revenue and annual budgets, showing year over year growth.
• Partner with vendors, leadership and sales to identify customer opportunities. Once identified, understand business objectives and challenges, establish trust and set vision with the customer, develop proposals, and win work for the practice.

• Practice Management
• Develop the practice’s internal and external presence, evangelize & champion our services and products, and manage the day-to-day operations of the team, including project management, resource allocation, budgeting, and practice-level profit and loss management
• Stay abreast of industry and technology changes in the areas of data and analytics technologies, especially as they lead us into a world rapidly moving towards AI
• Cultivate and manage the portfolio of offerings, SOWs, and IP to maximize profitability and achieve revenue/margin objectives

• Project Delivery
• Architect solutions, create documentation, and produce delivery estimations while leading senior team members in these tasks. Engage with clients to understand business needs and translate them into requirements for both technical and non-technical audiences.
• Follow consulting methodology to lead project teams through all core phases, including setup, requirements gathering, design, development, testing, and deployment. Engage in hands‑on development using SQL, Python, and data visualization tools like Tableau and Power BI, and design data models on platforms such as Snowflake and Databricks.
• Ensure client satisfaction by maintaining executive-level relationships through consistent support, impactful thought leadership, and high-quality project execution. Facilitate workshops, provide status updates, and lead meetings across executive levels, while articulating complex business challenges into actionable plans with clear communication.

• Hands‑on D&A expertise and experience including but not limited to:
• 10+ years in a consulting or a data‑focused role, and expert-level experience with SQL in platforms such as Snowflake, Databricks, Teradata, Redshift, Big Query, Synapse, Fabric, or similar
• 3+ years’ experience in professional services and pre‑sales as a data architect
• Strong theoretical and practical knowledge of necessary tools for analytics on cloud computing platforms such as AWS, Azure, or GCP.
  
  E.g. S3, Athena, IAM, networking configuration and management, etc.
• Significant hands‑on experience with business driven / self‑service BI, using tools similar to Tableau, Power
  
  BI…