Engineering Manager, Data & AI
ChowNow
Amazon RedshiftAWSETLGoogle Cloud PlatformKafkaPythonPyTorchSDLCSparkTensorflow
Job Level
SeniorLead
Tech Stack
Amazon RedshiftAWSAzureCloudEC2Google Cloud PlatformMicroservicesPySparkPythonScalaSQL
About the role
- Oversee the development, deployment, monitoring, maintenance, documentation and support of high quality, reliable applications
- Collaborate with the business to identify new business requirements and lead the technology team to deliver those requirements
- Partner with other application development teams to provide front to back solutions
- Oversight responsibility for related Technologies teams in Enterprise Consulting
- Lead and manage a team of Developers, QA & Automation Developer
- Create and maintain staffing plan to support current and future work demands and project deliverables
- Oversee strategic roadmap with Global Delivery Hub to ensure successful adoption of Autodesk solutions
- Build business plans in collaboration with senior management to align customer and Autodesk objectives
- Ensure the team delivers services to customers
- Enable team to establish and maintain collaboration with wider Enterprise Customer Success
- Maintain technical expertise and keep abreast of technology industry trends
- Proactively engage with customers and Autodesk stakeholders to stay on top of project requirements
- Identify potential new product solutions
- Make or help with buy versus build decisions
- Manage and monitor team’s performance to ensure successful project completion
- Identify, anticipate, and tackle technical issues and remove blockers to ensure delivery of project
Requirements
- Bachelors/Master’s Degree in Engineering, Computer Science, Information Systems, or related field
- 12+ years of technical leadership experience in technology, preferably in Financial Services
- 8+ years product management experience
- 5+ years of experience on software and/or developer platforms
- Experience managing delivery of at least 1 hardware/software product/service
- Experience managing and overseeing multiple on-going initiatives simultaneously
- Cross-functional communication and collaboration experience
- Experience in Scrum, Kanban, and Scaled Agile Frameworks (SAFe)
- Experience in plan and prioritize product feature backlog and development for the product
- Experience in develop detailed product feature specifications
- Deep knowledge in assess value, develop cases, and prioritize stories, epics, and themes
- Experience in serve as the product ambassador internally and externally
- Experience with scripting languages such as Python and Scala
- Experience with big data tools such as PySpark
- Experience with relational SQL databases
- Experience with AWS cloud services including S3, EC2, Glue, Lambda, RDS, or Redshift
- Experience working with APIs to pull and push data
- Advanced working SQL experience
- Experience optimizing 'big data' data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes
- Experience deploying technology or services with large enterprise or global customers (preferred)
- Lead a team of AI/ ML engineers will be an added advantage (preferred)
- Experience in Financial Services (preferred)
- Strong financial acumen (preferred)
- Expert knowledge of systems & platform, cloud native and microservices architecture (preferred)
- Deep understanding and experience in one of the public clouds (AWS, Azure, GCP) (preferred)
- Experience with delivery of cloud infrastructure automation, DevOps and CI/CD (preferred)
Similar jobs on JobTailor
Senior Data Engineer
IQVIA
AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformJavaKafka+5 more
Senior Software Engineer, Data Platform
ServiceTitan
Amazon RedshiftAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformHadoopJavaKafkaKubernetesPython+3 more
Senior Infrastructure Engineer
QuantHealth
AWSAzureCloudGoogle Cloud PlatformLinuxPySparkSparkTerraform
Senior Pipeline Engineer
Weekday (YC W21)
Amazon RedshiftAWSAzureBigQueryCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKafkaKubernetesPulsar+1 more