The Director of Data Engineering and Insights is responsible for leading the strategic direction, development, and optimization of the segment’s data infrastructure, integration architecture, and business intelligence capabilities. This role ensures alignment with enterprise data governance standards and delivers scalable, high-performance data solutions that empower insight generation, enhance decision-making, drive operational efficiency, and support innovation across the organization.
Strategic Leadership
- Define and execute the strategic vision and roadmap for data engineering, integration, and business intelligence across the segment and its Operating Units (OUs).
- Identify, prioritize, and drive key data initiatives that align with segment and OU business objectives.
- Champion a data-driven culture by promoting the strategic value of analytics in decision-making processes.
Data Architecture & Engineering
- Lead the design, development, and maintenance of scalable, high-performance data pipelines, data warehouses, and data lakes.
- Ensure seamless integration of disparate data sources to create unified, accessible, and trusted data assets.
- Advocate for and implement modern data engineering tools, platforms, and best practices to enhance data capabilities.
Data Governance & Compliance
- Lead adherence to enterprise data governance standards, policies, and frameworks.
- Ensure data quality, security, privacy, and compliance with internal and external regulations.
- Collaborate with corporate governance and IT teams to enforce data stewardship and data lifecycle management practices.
Business Intelligence & Insights
- Direct the design, implementation, and optimization of business intelligence (BI) solutions, including dashboards, reports and self-service analytics tools.
- Engage with business stakeholders to understand analytical needs and translate them into impactful BI initiatives.
- Monitor and evaluate the impact of BI initiatives in driving business performance and innovation.
Team Leadership & Talent Development
- Build, lead, and retain a high-performing team of data engineers, BI developers, and analysts.
- Set clear performance goals, provide regular coaching and feedback, and conduct performance evaluations.
- Promote continuous learning and professional development through mentoring, training, and knowledge sharing.
- Establish and maintain standard operating procedures to ensure consistent delivery of high-quality data solutions.
Stakeholder Engagement & Collaboration
- Act as the primary liaison for data initiatives, collaborating with business leaders, IT, and data governance teams.
- Partner with product owners, operational teams, and executives to deliver data solutions aligned with strategic goals.
- Communicate complex data concepts clearly to both technical and non-technical audiences.
- Drive adoption and sustained use of analytical solutions through stakeholder engagement and change management.
Innovation & Continuous Improvement
- Evaluate and implement emerging technologies, methodologies, and tools to enhance data management and analytics capabilities.
- Lead experimentation with innovative approaches to leverage internal and external data assets.
- Drive continuous improvement in data operations for greater efficiency, scalability, and reliability.
- Foster a culture of innovation, experimentation, and learning within the data engineering and BI functions.
Budgeting & Vendor Management
- Manage the budget for data engineering and BI projects, ensuring cost-effective and value-driven delivery.
- Oversee selection and management of external vendors, contractors, and technology partners as needed.