telus-digital - Senior Director, Client Accounts - AI Data Solutions

• Team Leadership & Development • Lead, mentor, and develop a team of Client Account Partners focused on industry-leading technology firms, while fostering a culture of accountability, curiosity, and client-first thinking. • Set clear performance expectations and support each team member in building and executing account strategies that drive retention, expansion, and net-new revenue. • Coach the team on Data-specific solutioning (data collection, data annotation, and data validation), consultative selling, and executive engagement, ensuring they can credibly advise clients on labeling workflows, quality frameworks, and AI training best practices. • Conduct regular account reviews, pipeline assessments, and deal coaching sessions to maintain forecast accuracy and identify risks or growth opportunities across the portfolio. • Client Account Engagement • Serve as a senior client account executive and strategic point of escalation for the team's highest-priority and most complex client relationships. • Build and maintain trusted relationships with AI, data science, product, and operations leaders across your portfolio of industry-leading technology firms. • Lead executive business reviews and strategic planning sessions that align TELUS Digital's capabilities to each client's evolving AI roadmap and data needs. • Personally drive retention, expansion, and new workstream growth within a defined set of named accounts, demonstrating the same consultative approach expected of your team. • Act as the voice of the client internally, surfacing insights that influence delivery execution, product development, tooling priorities, and research investments. • Data & AI Expertise & Solutioning • Develop and maintain deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf Datasets capabilities, including text, image, video, audio, and sensor data labeling, as well as generative AI data services, agentic AI workflows, and responsible AI practices. • Guide clients in designing scalable, high-quality data programs that meet the demands of their model training and fine-tuning objectives. • Partner closely with Solutions Architecture and Delivery teams to develop technically credible, customized proposals that address each client's unique data pipeline requirements. • Stay ahead of industry trends in AI training data, including emerging labeling methodologies, quality assurance approaches, and the evolving regulatory landscape surrounding responsible AI, and ensure your team is equally well-informed. • Strategy, Forecasting & Operations • Develop and execute a comprehensive growth strategy for the Client Accounts team, balancing near-term revenue targets with long-term partnership development. • Maintain rigorous pipeline hygiene, forecast accuracy, and account health reporting using Salesforce. • Collaborate cross-functionally with Delivery, Solutions Architecture, Finance, and Legal teams to ensure seamless client experiences and commercially sound agreements. • Contribute to practice-level initiatives, including go-to-market strategy, capability messaging, and thought leadership for the AI Data Solutions business. • Leadership & Account Management • 10+ years of F500 client account management and account building experience, with at least 3+ years in a Commercial people leadership role overseeing account teams. • 3+ years of sales experience in Data Collection, Annotation, and Validation professional services. • A demonstrated track record of building, coaching, and scaling high-performing teams in a complex, technical services environment. • Proven ability to manage and grow a portfolio of large, strategic accounts with multiple stakeholders across business units and seniority levels. • Experience leading executive-level engagements, business reviews, and long-cycle renewals and expansions. • Data & AI Knowledge • Deep familiarity with data collection, annotation, and validation services, workflows, and quality frameworks across modalities, including text, image, video, audio, and sensor data. • Strong understanding of how training data supports AI and ML model development, fine-tuning, and evaluation, and the ability to translate that knowledge into client-relevant solutions. • Comfort discussing generative AI, agentic AI pipelines, and responsible AI principles with both technical and business audiences. • Experience working with or selling to AI-forward technology companies is strongly preferred.