<h2><strong>Who We Are</strong></h2> <p>Welcome to <a href="https://www.telusdigital.com/">TELUS Digital </a>— where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of <a href="https://www.telus.com/en/">TELUS</a>, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.</p> <p>In January 2023, <a href="https://www.telusdigital.com/">TELUS Digital</a> acquired WillowTree, creating a combined firm with service offerings spanning Customer Experience and Digital Solutions.</p> <p>With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data &amp; AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA &amp; Test Engineering.</p> <p>From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.</p> <h2><strong>Location and Flexibility</strong></h2> <p>Our Senior Manager is an integral part of our Data &amp; AI Advisory team at WillowTree. This role will have the option to be in a Work From Near (Hybrid) capacity based out of one of the following offices: Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA, OR in a Work From Anywhere (Remote) capacity from within the U.S. </p> <h2><strong>The Opportunity</strong></h2> <p>We are seeking a Senior Manager, Data &amp; AI Advisory with a rare blend of strategic vision and hands-on implementation expertise across <strong>Master Data Management (MDM)</strong>, <strong>data quality,</strong> <strong>business rules engines</strong>, and <strong>AI-enabled governance tools</strong>. </p> <p>This senior-level role is ideal for someone who not only understands how to <strong>assess and architect governance strategies</strong>, but who has also <strong>led real-world implementations</strong> of enterprise MDM platforms, designed and deployed data quality rules, and configured business rule engines to support stewardship and compliance. You’ll also bring a forward-thinking view on how <strong>AI is transforming data governance</strong>—from automated policy enforcement to intelligent data classification.</p> <p>You’ll serve as both advisor and implementer—guiding clients from assessment to rollout, and ensuring governance initiatives move beyond strategy decks into operational reality.</p> <h2><strong>Responsibilities</strong></h2> <ul> <li><strong>Governance Strategy and  Execution</strong> <ul> <li>Lead end-to-end delivery of data governance initiatives, from current-state assessment through to design, configuration, and deployment of MDM and data quality solutions</li> </ul> </li> <li><strong>MDM Implementation:</strong> <ul> <li>Define and implement MDM architectures across domains (customer, product, location, etc.), including match/merge logic, survivorship rules, golden record management, and integration with source/consumer systems</li> </ul> </li> <li><strong>Business Rules Engine Configuration</strong> <ul> <li>Design and deploy rule sets for validation, standardization, hierarchy management, and workflow automation, leveraging built-in rule engines within platforms</li> </ul> </li> <li><strong>Data Quality Deployment</strong> <ul> <li>Develop and implement data quality rules for profiling, cleansing, anomaly detection, and monitoring</li> <li>Establish automated quality dashboards and KPIs to track improvement over time</li> </ul> </li> <li><strong>Platform and Vendor Leadership</strong>: <ul> <li>Lead platform evaluations and tool selection processes for MDM, data quality, cataloging, and AI-enhanced governance</li> <li>Align recommendations with enterprise architecture, scalability, and budget</li> </ul> </li> <li><strong>AI-Enabled Governance</strong> <ul> <li>Integrate AI and ML models into governance workflows, such as entity resolution, metadata inference, data tagging, and intelligent stewardship workflows</li> </ul> </li> <li><strong>Roadmap and Rollout Planning</strong> <ul> <li>Define phased implementation plans that include pilot domains, business alignment, change management, and success metrics for rollout</li> </ul> </li> <li><strong>Stakeholder Leadership:</strong> <ul> <li>Engage senior business and technical leaders to align implementation efforts with enterprise data goals</li> <li>Provide governance guidance during data modernization and platform migration programs<br /><br /></li> </ul> </li> </ul> <h2><strong>Qualifications</strong></h2> <ul> <li>5+ years of experience in data governance, MDM, and enterprise data implementations</li> <li>Demonstrated success leading and executing MDM implementations—from platform configuration to go-live support</li> <li>Hands-on experience with MDM tools (e.g., Informatica MDM, Reltio, Ataccama, Semarchy), data quality platforms, and rules engines</li> <li>Strong understanding of data stewardship, governance operating models, and policy enforcement</li> <li>Practical knowledge of AI’s role in data governance, including enrichment, classification, and automation</li> <li>Experience defining and deploying business rules frameworks for validation, matching, and standardization</li> <li>Strong grasp of data integration patterns, APIs, and architecture required to embed governance tools across ecosystems</li> <li>Effective communicator with a proven ability to lead cross-functional implementation teams and deliver results in complex enterprise environments</li> <li>Familiarity with regulatory requirements and data privacy laws (e.g., FOIP, GDPR, HIPAA) as they relate to master and reference data</li> </ul> <h2><strong>Bonus Points</strong></h2> <ul> <li>Experience in regulated or public sector environments</li> <li>Exposure to AI governance frameworks or Responsible AI programs</li> <li>Working knowledge of data catalogs, data lineage, and metadata management tools</li> <li>Familiarity with data mesh or data fabric patterns and hybrid cloud governance models</li> </ul> <h2><strong>Equal Opportunity Employer </strong><strong> </strong></h2> <p><em>At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.</em></p><div><div><div><p><strong>What Well Offer</strong></p> <p><strong>In addition to a great culture and interesting work with opportunities for growth and development, this position is eligible for the following benefits: </strong></p> <ul> <li>Healthcare benefits - Medical, Vision, Dental (Including an option for 100% coverage of individual employee medical premiums)</li> <li>Life &amp; Disability Insurance</li> <li>401K matching</li> <li>Flexible paid time off &amp; paid company holidays</li> <li>Parental Leave</li> <li>Employee Assistance Program (EAP)</li> <li>And more!</li> </ul> <p>*Individual compensation is based on various factors unique to each candidate, including skill set, experience, qualifications, and other job-related reasons determined during the interview process. Role ranges are periodically reviewed and updated based on market changes, internal needs, and industry trends.  To drive ongoing pay equity for team members, TELUS Digital conducts regular compensation audits.</p></div><div>USA Pay Range</div><div><span>$150,000</span><span>—</span><span>$175,000 USD</span></div></div></div>