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IS Manager-Recommendations

Overview:
Job Summary:

The IS Manager is responsible for planning, leading, organizing, and motivating the Recommendations teams within the Connected Program to achieve a high level of performance and quality in delivering exceptional business value to users.

The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities as it relates to artificial intelligence and business intelligence software, services, and platforms and integrated systems/solutions to meet the current and future needs of the business. This role is responsible for managing several (SAFe) agile Feature and Component Teams in a high visibility global program (Connected) using various methods in a fast-paced environment that crosses multiple business divisions and operating companies globally. The IS Manager may play many different roles in actual practice:

  • At an enterprise level, leading and managing large, complex technical deliverables consisting of multiple cross functional teams delivering AI and BI-driven predictions and recommendations to business users
  • At a team level, orchestrate the continued formation and success of a high performing group of individuals with disparate technology backgrounds and skills with the purpose of producing the highest quality AI and BI solutions
  • Using the Scaled Agile Framework (SAFe) methodology and processes to drive the successful delivery of product-based initiatives across multiple teams and release trains
Responsibilities:
Essential Functions:

  • Drive team members to develop practices and processes that optimally advance the translation of effort into value creation; minimize total cost of ownership by establishing high bar on quality including test driven development, continuous integration, and automated unit testing; establish metrics to measure and help the teams improve
  • Provide input to assist the Delivery Manager to implement Best Practices as defined within Scaled Agile Framework (SAFe), SDLC standards, and champion ongoing process improvement initiatives to implement best practices.
  • Work closely with the Enterprise Data team to collaborate on data governance standards, platforms, and shared data models
  • Establish direction and clear sense of meaning to inspire teams in creating their own connection and passion to the business goals
  • Act as technology owner, accountable for development and configuration implementation of capabilities related to data science, machine learning, Google Cloud Platform, Elasticsearch, and other related platforms related to Recommendations
  • Partner with Platform Architect, Product Owners and Business Sponsors in providing transparency in execution and monitoring within delivery plans.
  • Manage deliverables, status, and quality elements throughout the lifecycle for work efforts that may span multiple functions, departments, and processes
  • Identify risks, create mitigation plans and drive deliverables for production launches and articulate any operational/performance gaps needing to be addressed
  • Provide recommendations for operational efficiency and process improvements subject to management review in support of change
Supervisory or Management Responsibility:

  • Act as Coach-Leader, coaching others in their development as leaders, catalyzing the growth of people’s capacity to embrace greater complexity, and focus on helping others formulate their development agenda
  • Assist in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring team members
  • Promote empowerment of the team, ensure that each team member is fully engaged in the project and making a meaningful contribution, and encourage a sustainable pace with high-levels of quality for the team
  • Management responsibility for the teams, including hiring, leadership, development and accountability for performance.
  • Establish operational/team objectives and goals.
  • Evaluate conceptual aspects of technical designs of applications, systems and solutions to ensure sound decisions and investments are made in accordance with application architecture governance policies and standards.
Budget Responsibility:

  • Develops and manages budget
  • Produces monthly forecasts
  • Approves operational expenditures
  • Determines variance of actual to forecast and takes action to correct/explain variances
  • Plans capacity fluctuations based on roadmap of features
Qualifications:
Minimum Education and/or Experience:

  • BA or BS or equivalent experience is required
  • Strong interpersonal skills including mentoring, coaching, collaborating, and team building
  • Strong analytical, planning, and organizational skills with an ability to manage competing demands
  • Proven ability to lead software development teams and efforts and ensure objectives, goals, and commitments are met
  • Excellent oral and written communications skills and experience interacting with both business and IT individuals at all levels including the executive level
  • Thorough understanding of project management methodologies, Agile continuous development and Systems Implementation Life Cycle
  • Able to identify and understand complex problems/issues and develop solutions
  • Experience with enterprise-scale applications
  • Strong leadership, group facilitation, organizational, analytical and communication skills
  • Experience working in an offshore/onshore collaborative environment
  • Ability to travel internationally without restrictions required.
Skills/Abilities:
  • Solid understanding of Agile software development life cycle models, especially in SAFe
  • Experience overseeing multi-function teams with at least 15-20 team members including scrum masters, developers, business analysts, UX/front-end developers and QA personnel
  • Prior experience managing both software development and data science teams and initiatives
  • Prior software development or data science experience – a plus
  • Consulting background – a plus
  • Software development or data science hands-on experience – a plus
Core Competencies:
  • Build relationships
  • Develop people
  • Lead change
  • Inspire Others
  • Think critically
  • Communicate clearly
  • Create accountability

At Allegis Group, we strive for excellence through serving others. Our mission is to provide organizations with the highest quality talent solutions while also creating significant opportunities for individuals to realize their professional aspira...

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DATE POSTED
July 24, 2023

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