Location: Seattle,WA, USA
At Weyerhaeuser, our IT team is at the forefront of the timber industry's digital transformation. We're implementing state-of-the-art technology to uphold our competitive advantage. Our investments encompass a broad spectrum of technologies and tools, all designed to support our vision. We're implementing solutions that integrate and standardize data across the entire supply chain from seedlings to finished wood products and their distribution. Our strategies involve advanced analytics, machine learning/artificial intelligence, and geospatial data-focused data lakes. We deploy solutions using DevOps methodologies, such as continuous integration/continuous deployment and Infrastructure as Code. This position is an integral part of the centralized IT Enterprise Architecture Team at Weyerhaeuser that is closely aligned with all the data related initiatives across all lines of business such as Timberlands, Wood Products, Corporate Development (Land, Minerals, and Climate Solutions) and support organizations. This includes advancing our Enterprise Data Management & Analytics strategy, expanding our Artificial Intelligence (AI) practices, and strengthening the technology innovation. If you want to be part of a world-class technology team changing the world we live in - come grow with us! Our industry and technology are constantly evolving; we are seeking a proactive collaborator to partner with our enterprise leaders, data owners and delivery teams to formulate data strategies and roadmaps that drive business outcomes and capabilities. The role requires influential leadership skills and the ability to work together with teams across the enterprise at all levels of the organization for alignment and solutioning. The ideal candidate is passionate, thrives in a team environment, and is committed to lifelong learning. They will play a significant role in the continuous investment in our business sectors and aid in the advancement of enterprise architecture practices. Their core values align with our company culture of safety, integrity, citizenship, sustainability, and inclusion. Working in a place where all feel a sense of belonging and diverse ideas are embraced. Candidates should possess significant domain knowledge, the capacity to foster robust relationships with diverse stakeholders, and promote alignment with contemporary data and technology methodologies. Outstanding business insight, strategic thought process, knowledge of cross-functional integration, comprehension of the impact of infrastructure on applications, and excellent interpersonal and communication skills are essential. We provide a platform for innovation, influence, transformation, inspiration, and growth within our organization. If you are ready to be a crucial strategic component of our team, we invite you to apply and discover more about this exciting opportunity! Responsibilities •Formulate, communicate and uphold architectural strategies and standards in alignment with our business objectives. •Facilitate discussions with stakeholders about the potential of technology and applicability to business strategies and objectives. •Partner with senior leadership to determine and prioritize data-related architectural initiatives. •Oversee data integration efforts to ensure smooth, secure data transfer across various systems and platforms. •Pinpoint opportunities for automation and process optimization to minimize manual efforts. •Engage with different business units and departments to comprehend their needs and provide architectural solutions accordingly. •Cultivate a collaborative atmosphere, bridging the divide between technical and non-technical stakeholders. •Collaborate on establishing data pipelines, ETL/ELT processes, and automate workflows. •Partner with the Information Governance team to ensure data policies, standards, and best practices are seamlessly integrated within the enterprise's architectural strategy. •Collaborate with Legal team on data related regulatory requirements. •Design data models, data flows, and data integration strategies to ensure data quality, security, and accessibility. •Collaborate with data engineers to implement data management solutions. •Collaborate with business analysts, data scientists and data engineers to develop AI-driven solutions that enhance decision-making processes. •Ensure ethical and responsible use of AI technologies, adhering to relevant regulations and industry standards. •Evaluate the organization's current technology portfolio and recommend enhancements and upgrades. •Stay abreast of emerging technologies and assess their potential benefits for the company. •Provide strategic advisory counsel for project activities with delivery teams to guide integration efforts. •Commit to growing functional and technical skills and discovering new ways to deliver business or technical solutions. Willing to mentor others. •Leads and participates in project architecture reviews. Provides guidance and participates in project alternative analysis and architecture development. Qualifications