Technical Manager Network Management System
Talent Leadership : Influence highly experienced technologists (engineers, data analysts, database administrators and automation engineers), creating successful plans to deliver solutions to the business.
Manage the vendor / contingent workforce and ensure adherence to delivery targets, budgetary targets and process guidelines.
Collaborate with peer business managers and the technology hierarchy to develop a high performance team culture and capabilities by managing talent closely
Technology Delivery Accountability : Participate with other technology and business leaders to translate strategic plans and goals into tactical plans and objectives.
Ensure objectives are effectively achieved.
Be a thought leader and hands on implementer of Agile based delivery methodologies that enable the successful, predictable and value added delivery of projects, programs and processes.
Ensure budgets and schedules commitments are met. Lead continuous improvement efforts to improve process and other efficiencies.
Consolidate and create innovative ways to capture and present Program and Project status.
Architectural and Design Guidance and Influence : Participate in and provide strategic and architectural guidance and influence the development and realization of a technology vision to modernize our legacy systems.
Collaborate with Technology Leads, System Architects and business teams to guide and influence the development of technology solutions that meet business needs.
Explore and adopt emerging technologies and new ways of working where outdated or inefficient processes or tools exist.
Leverage appropriate technologies, including emerging technologies like Machine Learning, NLP & AI to enable the highest levels of automation within our processes.
Required Skills :
Bachelor’s degree in Computer Science, Information Technology or related technical discipline, MS degree preferred
7+ years of Software Engineering experience
3+ years of experience implementing and working with Artificial Intelligence
3+ years of experience managing engineering teams
Expertise with Java, Python or both is required. Other languages, in addition, are desirable.
Experience with Python packages like pandas, scikit-learn, TensorFlow, NumPy, NLTK is a plus
Experience with DevOps tools (e.g. Splunk, Git, UDeploy, Jenkins, Control-M)
Experience with Agile methodology
Experience with back-end XML, relational and file-based databases (e.g. SQL, Postgres, Redshift, Netezza, HDFS)
Experience with the Hadoop stack (MapReduce, Pig, Hive, NiFi, Spark,)
Experience with at least one statistical modeling language (e.g. R, MATLAB, Python)
Familiarity with common data cleaning techniques
Familiarity with automation tools such as Puppet or Chef
Familiarity with data visualization (e.g. Tableau, Shiny, d3)
Familiarity with statistical software, linear algebra and optimization
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