What we're looking for As a Project Manager working within the Technology Practice at Noise Digital, you will be responsible for leading and coordinating complex technical projects for a growing development team, ensuring successful delivery through effective planning, execution, and stakeholder management. What you'll do The Technical Project Manager will work under a Project Management Office (PMO) structure and in tandem with other Technical Project Managers, Account Managers and Account Directors across Noise Digital to oversee the successful delivery of technology projects by ensuring standardized and efficient planning, monitoring and execution of technology projects across the department. With a strong understanding of marketing technologies and data analytics, this role will provide support in standing up technical projects from start to finish, including initial intake, defining and implementing the correct methodology, integrating and managing the SMEs, building project timelines and approach, defining and managing budget, and ensuring deliverables meet acceptance criteria, all while adhering to project management processes and best practices. This role will be responsible for collaborating with the Noise Client Services Team and the client’s product and/or brand teams to translate their needs into technical project scopes. This role will be responsible for managing project deliverables, acting as the conduit between client and development teams, and ensuring projects are delivered on time, on budget and within the standard of excellence the Technology Practice is committed to delivering. What you'll need to bring Project Management & Delivery Develop and maintain comprehensive project plans, schedules, and budgets for technical projects Collaborate with cross-functional teams, including Noise subject matter experts (developers, strategists, client services) to define project scope, requirements, and deliverables Collaborate with Account Managers, Account Directors and/or PMO to draft, review and finalize Statements of Work (SOWs) Collaborate with external stakeholders to ensure project alignment with business goals and effective communication Manage project timelines, resources and risks, ensuring projects are completed on time, and within budget, whilst maintaining adherence to operational processes and standards Manage projects via PM software (Asana, JIRA, ClickUp, etc.), including project plans, resource assignment and task management Handle, maintain and control relevant project information including project documentation; statement of work, project estimates, RACI or RASCI matrix, dependencies, project plan, activity schedule; risk identification & management plan; communication & change management plan Process Management, Improvement and Quality Assurance Implement and oversee project management methodologies, including Agile (Scrum, Kanban, SAFe) and Waterfall approaches as project requirements dictate Review, QA and validate technical deliverables, including but not limited to, technical documentation and end user guides Identify and mitigate project risks, escalating issues as necessary and proposing solutions within the project team and to client Facilitate change requests in the event of major impact on scope, schedule, resourcing and budget Provide feedback to PMO on continuous improvements to existing project management processes and practices, incorporating lessons learned and best practices Stakeholder and Client Management Facilitate project kick-offs, collaborate with stakeholders, including senior leadership, to ensure project alignment with business goals and effective communication. Facilitate regular status meeting cadences, including internal stand ups, external client statues, demos, and retrospectives Provide professional and proactive updates and communications to clients throughout the duration of the project Operational Oversight and Resource Coordination Foster a collaborative and productive team environment, providing guidance and support to project team members Promote a collaborative and inclusive work environment, encouraging cross-functional teamwork and knowledge sharing. Represent the Technology practice in cross-functional meetings and initiatives, advocating for team needs and requirements. Qualifications ~2-3+ years of project management experience with a proven track record of successfully delivering complex, cross-functional technical projects. ~ Bachelor’s degree in a related field (e.g., Business, Computer Science, Analytics) or equivalent practical experience. ~ Strong understanding of Agile (Scrum, Kanban, SAFe) and Waterfall methodologies, with the flexibility to adapt approaches as needed. ~ Proficiency in project management software (e.g., Asana, Monday.com). ~ Excellent communication, presentation, and interpersonal skills, with a proven ability to build relationships and manage diverse stakeholders. ~ Strong organizational and time-management skills, including the ability to multitask and prioritize effectively in a fast-paced environment. ~ Proven analytical and problem-solving abilities, with the capacity to manage projects autonomously and resolve issues with minimal oversight. ~ Strategic mindset focused on driving operational excellence and continuous process improvement. ~ Fiscal management skills, including experience with project budgeting, forecasting, and cost optimization. ~ Experience in the analytics industry; familiarity with data tools (Power BI, Looker), cloud platforms (GCP, AWS), and/or certifications (PMI, SAFe) are considered strong assets. Direct Reports ~ None (with the potential to take on direct reports as the team scales)
Cloud Engineer
Job Purpose:As a Cloud Engineer L2 at Noise, you will play a crucial role in the Analytics team, focusing on the optimization, maintenance, and execution of medium-complexity cloud-based data and analytics solutions. You will work within the Google Cloud Platform (GCP) infrastructure, contributing to the development and operational stability of systems, particularly those involving Machine Learning (ML) and Large Language Models (LLMs). You will execute defined tasks with a high degree of independence and support the wider team in maintaining engineering excellence.
Key Responsibilities and Duties:I. Cloud Engineering and ExecutionSolution Execution: Implement, optimize, and maintain robust cloud-based solutions for data analytics and insights based on established architectural patterns.ML/LLM Support: Execute defined tasks related to the deployment, maintenance, and scaling of software solutions utilizing Machine Learning (ML) models and Large Language Models (LLMs) within the GCP infrastructure.Infrastructure Maintenance: Develop and maintain essential cloud infrastructure components, ensuring operational efficiency, reliability, and adherence to security best practices.Automation and Scripting: Contribute to the development of automation scripts and use basic Infrastructure-as-Code (IaC) tools to streamline deployment and management processes.Troubleshooting and Optimization: Proactively monitor system performance, diagnose issues, and execute optimization strategies for existing cloud services and data pipelines.II. Technical Collaboration and Design SupportDesign Contribution: Work independently on assigned tasks and provide input to senior engineers on complex design considerations, seeking guidance where required to ensure system integrity.Documentation: Create and maintain clear technical and engineering documentation (including updates to UML diagrams) for system components, processes, and maintenance procedures.Cross-Functional Integration: Collaborate effectively with peer engineers and cross-functional teams to ensure the smooth integration and operation of cloud services and tools at the team/system level.III. Team and EducationProcess Adherence: Actively follow and contribute to the refinement of team processes, procedures, and best practices.Knowledge Sharing: Educate Strategy and Media teams on basic cloud solutions and implementation best practices relevant to your scope of work.Team Participation: Attend regular office meetings and developmental activities, including regular 1:1 meetings with the Director of Platforms & Analytics.
Qualifications:Experience: 2-5 years of hands-on experience in software engineering, cloud engineering, or a related technical role.Cloud Platform Proficiency: Direct, practical experience with Google Cloud Platform (GCP) services.Technical Proficiency:Strong proficiency in the primary programming language: Python.Practical experience with key GCP services: Cloud SQL, BigQuery, Dataflow, App Engine/Compute Engine, Pub/Sub.Foundational experience or strong desire to specialize in Machine Learning (ML) and Large Language Models (LLMs) within GCP.Strong command of SQL for data manipulation and analysis.Experience in pipeline-oriented ETL/ELT ingestion and build processes.Familiarity with UML for documenting system and process design.Methodology: Understanding of SDLC methodologies (Agile, SCRUM, etc.).Industry Knowledge: Familiarity with Digital Analytics and Ad-Tech solutions, including key systems/APIs (Google Campaign Manager, Google Ads, Facebook Marketing).Certifications (Optional): GCP certification, particularly the Professional Machine Learning Engineer (MLE), is a strong asset.Soft Skills: Strong collaboration skills, an innate curiosity, and a commitment to continuous learning in digital marketing, research, and analytics.
Working Conditions:This position operates under a hybrid work model. Employees are currently required to work from the office once per week to foster team collaboration and culture. While the role primarily allows for work-from-home arrangements, the required in-office frequency is subject to change based on evolving company and departmental needs.Noise is a digital media and marketing consultancy. We help brands harness and activate the power of their most valuable asset - their data. Founded in 1998 at the early stages of the digital marketing revolution, Noise has provided strategic advice, technology consulting, and agency services to brands across North America for more than twenty years.
Cloud Engineer
Job Purpose: As a Cloud Engineer L2 at Noise, you will play a crucial role in the Analytics team, focusing on the optimization, maintenance, and execution of medium-complexity cloud-based data and analytics solutions. You will work within the Google Cloud Platform (GCP) infrastructure, contributing to the development and operational stability of systems, particularly those involving Machine Learning (ML) and Large Language Models (LLMs) . You will execute defined tasks with a high degree of independence and support the wider team in maintaining engineering excellence.
Key Responsibilities and Duties: I. Cloud Engineering and Execution Solution Execution: Implement, optimize, and maintain robust cloud-based solutions for data analytics and insights based on established architectural patterns. ML/LLM Support: Execute defined tasks related to the deployment, maintenance, and scaling of software solutions utilizing Machine Learning (ML) models and Large Language Models (LLMs) within the GCP infrastructure. Infrastructure Maintenance: Develop and maintain essential cloud infrastructure components, ensuring operational efficiency, reliability, and adherence to security best practices. Automation and Scripting: Contribute to the development of automation scripts and use basic Infrastructure-as-Code (IaC) tools to streamline deployment and management processes. Troubleshooting and Optimization: Proactively monitor system performance, diagnose issues, and execute optimization strategies for existing cloud services and data pipelines. II. Technical Collaboration and Design Support Design Contribution: Work independently on assigned tasks and provide input to senior engineers on complex design considerations, seeking guidance where required to ensure system integrity. Documentation: Create and maintain clear technical and engineering documentation (including updates to UML diagrams) for system components, processes, and maintenance procedures. Cross-Functional Integration: Collaborate effectively with peer engineers and cross-functional teams to ensure the smooth integration and operation of cloud services and tools at the team/system level. III. Team and Education Process Adherence: Actively follow and contribute to the refinement of team processes, procedures, and best practices. Knowledge Sharing: Educate Strategy and Media teams on basic cloud solutions and implementation best practices relevant to your scope of work. Team Participation: Attend regular office meetings and developmental activities, including regular 1:1 meetings with the Director of Platforms & Analytics.
Qualifications: Experience: 2-5 years of hands-on experience in software engineering, cloud engineering, or a related technical role. Cloud Platform Proficiency: Direct, practical experience with Google Cloud Platform (GCP) services. Technical Proficiency: Strong proficiency in the primary programming language: Python . Practical experience with key GCP services: Cloud SQL, BigQuery, Dataflow, App Engine/Compute Engine, Pub/Sub. Foundational experience or strong desire to specialize in Machine Learning (ML) and Large Language Models (LLMs) within GCP. Strong command of SQL for data manipulation and analysis. Experience in pipeline-oriented ETL/ELT ingestion and build processes. Familiarity with UML for documenting system and process design. Methodology: Understanding of SDLC methodologies (Agile, SCRUM, etc.). Industry Knowledge: Familiarity with Digital Analytics and Ad-Tech solutions, including key systems/APIs (Google Campaign Manager, Google Ads, Facebook Marketing). Certifications (Optional): GCP certification, particularly the Professional Machine Learning Engineer (MLE) , is a strong asset. Soft Skills: Strong collaboration skills, an innate curiosity, and a commitment to continuous learning in digital marketing, research, and analytics.
Working Conditions: This position operates under a hybrid work model . Employees are currently required to work from the office once per week to foster team collaboration and culture. While the role primarily allows for work-from-home arrangements, the required in-office frequency is subject to change based on evolving company and departmental needs. Noise is a digital media and marketing consultancy. We help brands harness and activate the power of their most valuable asset - their data. Founded in 1998 at the early stages of the digital marketing revolution, Noise has provided strategic advice, technology consulting, and agency services to brands across North America for more than twenty years.
Get AI-powered advice on this job and more exclusive features. We are seeking a detail-oriented and experienced Digital Analytics Specialist who is passionate about data quality, technical implementation, and transforming raw data into actionable insights. This role is critical for ensuring our clients' digital measurement foundations are rock-solid, enabling sophisticated analysis and maximizing return on investment. You will be the technical expert, bridging the gap between marketing strategy and data engineering. What you'll do Technical Implementation & Optimization Lead the planning, implementation, and optimization of Google Analytics 4 and Google Tag Manager (GTM) for various client websites and applications. Develop and execute comprehensive tagging strategies to accurately track user behavior, marketing campaign performance, and conversion events. Design, build, and maintain Server‑Side Tagging (SST) solutions, primarily using Google Cloud Platform (GCP) and GTM, to enhance data quality, security, and performance. Integrate and configure Consent Management Platforms (CMP) (e.g., OneTrust, Cookiebot) with GTM and analytics tools to ensure data collection is compliant with global privacy regulations (e.g., GDPR, CCPA). Facilitate and manage the secure integration between Google Analytics 4 (GA4) and Google Cloud Platform (GCP) , specifically for exporting and querying BigQuery data. Measurement & Strategy Design and document custom Measurement Frameworks that align client business objectives, key performance indicators (KPIs), and digital analytics capabilities. Conduct in‑depth technical and configuration audits of existing GA4 accounts and GTM Containers to identify issues, ensure best practices, and optimize configuration for maximum insight generation. Provide expertise in setting up and configuring advanced GA4 features, including custom dimensions, metrics, audiences, and conversions. Troubleshooting & Quality Assurance Act as the primary point of contact for all analytics troubleshooting —diagnosing and resolving data discrepancies, tag firing issues, and reporting anomalies quickly and effectively. Client Presentations Compile and present key findings and strategic recommendations to technical and non‑technical clients. What you'll need to bring 3+ years of hands‑on experience in a dedicated web analytics implementation or specialist role. Expert proficiency in Google Analytics 4 (GA4) and Google Tag Manager (GTM) , including advanced trigger and variable configurations. Proven experience implementing and configuring Server‑Side Tagging solutions. Experience integrating analytics with at least one major Consent Management Platform (CMP) . Familiarity with cloud environments, particularly Google Cloud Platform (GCP) and experience with the GA4‑BigQuery export. Solid grasp of digital marketing concepts (e.g., attribution, conversion paths, SEO/SEM/Display data). Excellent problem‑solving skills and a methodical approach to troubleshooting complex data issues. Excellent written and verbal communication skills. Ability to clearly present complex technical content and concepts to technical and non‑technical audiences. Strong collaborative mindset with a commitment to client satisfaction and success as your north star. Noise Digital is a leading digital agency and certified Google Analytics 360 reseller dedicated to delivering data‑driven results for our diverse portfolio of clients. We believe that robust, accurate, and insightful analytics are the backbone of successful digital marketing campaigns. We are looking for a highly skilled and motivated Analytics Specialist to join our team and elevate our clients' measurement capabilities. Why Noise? Work on a wide variety of high‑profile client accounts, exposing you to diverse challenges and industries. A collaborative and innovative team culture that values continuous learning and professional development. Opportunity to be a leading voice in the evolution of our clients' data measurement strategies. #J-18808-Ljbffr
