VP, Data Platform Location: Remote, United States, United States **Description** The VP of Data Platform will be responsible for setting the vision and strategy for our data architecture.Thepositionwillcollaborate with product, operations, customer care,and engineering teams to create data-driven solutions that enhance customer value and operational efficiency. Thisis afull-timepositionandreportsdirectly to theChief Technology Officer. **_Preferred_** **_Location_** This is a remote,home-officebasedroleand candidates located in thecontinentalUnitedStateswill be considered **_Travel Requirements_** Expected travel is5%forthis role **_Essential Functions_** + Develop and implement a dataplatformstrategy that aligns with the company’s business goals and product roadmap + Design and oversee scalable data architectures that enable advanced analytics + Ensure the integrity, accessibility, and security of the company’s data assets by implementing best practices in data governance and compliance + Evaluate and enhance the current data landscape, including assets, technology stack, architecture, and governance practices + Lead the development and continuous evolution of scalable, robust, and business-aligned data platforms + Implement best-in-class practices in data management, ETL processes, data warehousing, and governance to ensure high quality and trust in data + Drive the adoption of modern tools and technologies + Work closely with cross-functional teams (product management, engineering, architecture, customersuccess, and operations) to ensure the seamless integration of data capabilities into products and operations + Effectively communicate complex data concepts and strategies to executive leadership and stakeholders, ensuring alignment with the company’s broader vision and goals + Translate data-driven insights into actionable business outcomes, ensuring that data initiatives provide tangible value to the organization **_Education Requirement_** Bachelor’s degree in Computer Science, Engineering, Data Science or related fieldwith an advanced degree preferred **_Required_** **_Experience_** **_, Knowledge_** **_and Skills_** + 15+years of experience in data engineering, with at least 5 years in a leadership role within a fast-paced technology or SaaS environment + Proven experience in building and scaling data platforms in a cloud environment such as AWS, Azure, or GCP, with a focus on scalability, security, and performance + Expert knowledge of AWS (e.g., EC2, Redshift, EMR, Glue, S3) + In-depth experience with data pipeline orchestration tools (e.g., Airflow, Luigi), distributed processing frameworks (e.g., Spark), and programming languages (e.g., Python, SQL) + Strong expertise in data management principles, including data architecture, ETL processes, data governance, and data quality frameworks + Exceptional leadership and mentorship skills with the ability to inspire teams and cultivate a high-performance culture + Demonstrated ability to align technical solutions with overarching business goals, while identifying opportunities for data-driven innovation and operational efficiencies + Strong communication and stakeholder management skills, with thecapabilityto convey complex technical topics to non-technical audiences and executive leaders **_Preferre_** **_d_** **_Experience_** **_, Knowledge_** **_and Skills_** + Familiarity with modern data lake and data warehouse architectures, real-time streaming, and event-driven systems + Familiarity with data security and privacy regulations (e.g., GDPR, CCPA) + Familiarity with cloud cost optimization and cost control **_About Dodge Construction Network_** Dodge Construction Network exists to deliver the comprehensive data and connections the construction industry needs to build thriving communities.Our legacy is deeply rooted in empowering our customers with transformative insights, igniting their journey towards unparalleled business expansion and success.We serve decision-makers who seek reliable growth and who value relationships built on trust and quality. By combining our proprietary data with cutting-edge software, we deliver to our customers the essential intelligence needed to excel within their respective landscapes. We propel the construction industry forward by transforming data into tangible guidance, driving unparalleled advancement. Dodge isthe catalyst for modern construction. **_Salary Disclosure_** Dodge Construction Network’scompensation and rewards package for full time roles includes a market competitive salary,comprehensive benefits, and, for applicable roles,uncappedcommissionsplans or an annual discretionary performance bonus. **_For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the_** **_future require sponsorship for employment visa status._** **_A b_** **_ackground check_** **_is_** **_required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job_** **_and_** **_consistent with all federal state and local ordinances._** **_Reasonable_** **_Accommodation_** **_Dodge Construction Network_** **_is committed to recruiting, hiring, and promoting people with disabilities. If you need an accommodation or assistance completing the online application, please email_** **_recruiting@construction.com_** **_._** **_Equal Employment Opportunity Statement_** **_Dodge Construction Network is an Equal Opportunity Employer._** **_We are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people._** **_All employment decisions shall be_** **_based on merit,_** **_qualifications,_** **_and business needs_** **_without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status,_** **_pregnancy,_** **_sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law._** _\#LI-Remote_ _\#LI-CS1_