Chief Marketing Officer

• Develop integrated campaigns supporting Data & AI, Azure, Microsoft Fabric, Copilot, Intelligent Automation, Enterprise Integration, and Application Innovation services.
• Own the full campaign lifecycle from ICP definition and messaging through execution, optimization, attribution, and reporting.
• Partner with Sales and Practice Leaders to create campaigns that generate qualified meetings, SQLs, opportunities, and pipeline.
• Design scalable ABM programs for strategic enterprise and mid-market accounts.
• Develop executive-level messaging and buying committee engagement plans.
• Measure success through account penetration and pipeline.
• Lead Microsoft-aligned workshops, webinars, co-marketing initiatives, executive roundtables, and partner campaigns.
• Support Microsoft co-sell motions and strengthen partner relationships.
• Transform client success stories and technical expertise into case studies, blogs, webinars, videos, podcasts, and executive LinkedIn content.
• Partner with executives to build OZ's industry presence.
• Leverage Copilot, AI, CRM automation, HubSpot/Dynamics workflows, analytics, and dashboards.
• Improve CRM hygiene, attribution, funnel reporting, and marketing efficiency.
• Lead and mentor the global marketing team while fostering innovation, accountability, collaboration, and continuous improvement.

Senior Manager, Revenue Marketing & Growth

Data Engineer

• Develop and maintain SQL code and SSIS packages.
• Analyze data and solve new and existing business issues.
• Reviewing query performance and optimizing code.
• Provide production level support.
• Fully document all processes that are being created.

Prod Support Data Engineer, T-SQL

• Serve as the technical lead for the project—owning solution design decisions, guiding implementation standards, and mentoring other engineers through coaching, reviews, and knowledge sharing.
• Design, develop, and maintain complex ETL pipelines using Databricks, ensuring scalable, high-performance data integration across multiple source systems.
• Implement and optimize medallion architecture within Databricks, establishing clear data zones (raw, curated, trusted) to support governed, enterprise-wide reporting.
• Develop and refine dimensional data models that enable unified, analytics-ready views of business domains and support automated dashboarding and KPI frameworks.
• Collaborate closely with cross-functional teams (data stewards, IT, business stakeholders) to translate operational requirements into technical solutions, proactively clarifying dependencies and driving alignment.
• Contribute to architectural decisions, leveraging your expertise to recommend best practices, challenge assumptions, and ensure data platform durability and flexibility.
• Identify and address integration challenges, data quality issues, and process bottlenecks early, providing actionable insights and thoughtfully pushing back when project risks or inefficiencies arise.
• Support knowledge transfer and documentation, empowering colleagues and clients to maintain and evolve data solutions independently.

Lead Data Engineer – Databricks

Risk

• Serve as the primary architect and leader for data governance initiatives, establishing standards, policies, and frameworks across a large-scale data integration project unifying up to 24 disparate sources in a single data cloud environment.
• Design, implement, and operationalize comprehensive data governance programs, including data quality, stewardship, lineage, access control, and documentation that empower clients to maintain and evolve their data assets independently.
• Collaborate closely with technical project leads, business stakeholders, and customer teams to translate operational requirements into actionable governance solutions, proactively clarifying dependencies and driving alignment.
• Set and enforce governance standards for the entire project team, including both internal and customer participants, ensuring consistency, transparency, and compliance throughout the program lifecycle.
• Lead the creation and maintenance of governance artifacts, such as data dictionaries, stewardship models, KPI glossaries, and RACI matrices, facilitating handover and long-term sustainability for the client.
• Actively participate in project reviews, provide constructive feedback, and push back thoughtfully when risks or inefficiencies are identified, helping the team to pivot and achieve optimal outcomes.
• Mentor and guide team members on governance best practices, fostering a collaborative and learning-oriented culture that reflects OZ Digital’s values: Evolve Constantly, Focus on Outcomes, Succeed Together, Stay Positive, and Lead with Empathy.
• Support knowledge transfer, documentation, and training to ensure smooth adoption of governance processes by all stakeholders.

Senior Manager, Revenue Marketing & Growth

Prod Support Data Engineer, T-SQL

Lead Data Engineer – Databricks

Senior Data Governance Consultant – Azure/Databricks