Content Marketing Manager

• Lead and inspire a multidisciplinary team (instructional designers, graphic artists, and video producers) to produce cutting-edge learning content that influences leadership behaviours and accelerates organizational growth.
• Champion and embed evidence-based learning design principles across all initiatives, promoting best practices and continuous innovation in instructional design within the team and organization.
• Foster a culture of experimentation and continuous improvement, encouraging the development of innovative ideas and approaches in content creation; may include design sprint facilitation.
• Collaborate with stakeholders across the organization to identify learning needs and translate them into creative, effective solutions.
• Provide creative direction and maintain brand and aesthetic consistency across customer-facing content.
• Establish best practices for content development, incorporating emerging technologies and innovative formats to enhance learner engagement and impact.
• Manage and optimize content infrastructure, including documentation of processes and systems that support scalability and quality.
• Champion accessibility in learning content, ensuring all experiences are inclusive and compliant with relevant standards.
• Manage project timelines, budgets, and resources to deliver high-quality content on schedule.
• Stay informed of trends and advancements in learning and development, applying insights to guide team innovation.
• Support professional growth within the team through coaching, mentorship, and development opportunities.
• Oversee and manage relationships with external vendors to ensure the timely, cost-effective, and high-quality delivery of instructional design projects and learning solutions; define scopes of work and negotiate contracts.
• Represent the organization as a thought leader by speaking at conferences, webinars, and industry forums.
• Evaluate and implement new tools, platforms, and technologies to enhance learning outcomes and engagement; identify opportunities and drive improvements in workflows, tooling and AI automation/augmentation.
• Lead change management initiatives to drive adoption of new tools, workflows, and operational models.
• Define and track success metrics and continuously measure the effectiveness of programs and content; work with technology teams to streamline digital integration and content delivery.

Director, Content Innovation and Leadership Development

Product Manager

• Oversee products from inception through design, build, launch, growth, and enhancement.
• Responsible for the commercial success of product portfolio aligned with DDI’s strategy and customer needs.
• Conduct market and customer research to gather insight and grasp personas and needs.
• Set and deliver the vision for assigned products and relay that vision across the organization.
• Create, document and present products and product roadmaps.
• Participate in or potentially lead cross-functional go-to-market squads.
• Coordinate creation of prototypes and testing of product concepts.
• Document product requirements, user stories and artifacts to aid development.
• Provide direction to product development team and oversee product development.
• Create pricing models and facilitate pricing decisions.
• Serve as a resource to the field (prospect/customer calls, sales enablement content).
• Provide input to portfolio marketing for activities (buyer personas, competitive positioning, launch plan).
• Monitor product adoption and collect customer feedback.
• Monitor and report on product performance in the market.
• Provide coaching and expert guidance to Product Managers and associates.
• Initiate/manage strategic partnerships as needed.

Senior Product Manager

Director

• The senior leader of Data Strategy will lead DDI’s data vision, shaping and executing a comprehensive strategy that aligns data architecture, governance and AI innovation across the enterprise. This role will drive the development of scalable data platforms, establish enterprise data standards, and guide the responsible implementation of AI/ML technologies. The ideal candidate will be a seasoned data leader with a deep understanding of modern data ecosystems, including Azure and Databricks, and a proven ability to translate complex data challenges into strategic business value.
• Key Responsibilities:
• Develop and lead enterprise-wide data strategy and architecture, aligning data initiatives with DDI’s overall business objectives.
• Develop and drive data enterprise roadmap with near-term and long-term horizons.
• Build partnerships and work across senior stakeholders in DDI to ensure data infrastructure and eco system enables strategy.
• Establish commercial data strategy to enable customer value, define and leverage DDI as a competitive differentiator, and leverage insights and analytics aligned with product strategy
• Establish data governance frameworks and operational processes to ensure data quality, security, lineage, and compliance.
• Establish data management goals, data strategies, communications, governance models, and plans necessary to execute data initiatives aligned to business strategies,?to maximize the value of data to the enterprise.
• Act as a thought leader on emerging data trends, advising senior leadership on opportunities and risks related to data and AI.
• Develop and evolve data integration frameworks internally and externally in support of corporate strategy
• Ensure proper security standards are applied with data infrastructure
• Lead cross-functional prioritization and planning efforts and develop roadmaps and drive priorities in support of our Enterprise Data strategy efforts.
• Ensure high value data user experience and that data can be leveraged positively internally and externally with right data management platforms.
• Provide overall direction and guidance to technical team in the design, development, maintenance, and enhancements of business applications and related technologies.
• Define and enforce best practices for responsible AI/ML development, including model validation, reproducibility, and bias mitigation.
• Serve as key partner in solving customer and product based data and analytics problems
• Collaborate with business units to identify high-value AI/ML use cases
• Lead, develop and mentor team of data engineers and technical specialists

DDi

Director, Content Innovation and Leadership Development

Senior Product Manager

Director of Enterprise Data