Allegis Group
Overview
Job Summary:
The IS Manager is responsible for planning, leading, organizing, and motivating the Data Analytics team within Global Enterprise Applications and Data 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, including machine learning
models and AI-driven analytics, as they relate to the Data Lake, the Data Warehouse, and other integrated solutions and services to meet the current and future needs of the business.
This role is responsible for managing a portfolio of efforts (projects, product backlogs, etc.), using Scaled Agile, in a fast-paced environment that may cross multiple operating companies and support organizations. Role also involves supporting data science teams by coordinating the development and operationalization of AI/ML models and pipelines. The IS Manager will leverage AI and machine learning techniques to enhance data-driven decision-making, optimize processes, and drive innovation across the organization.
Responsibilities Essential Functions:
Acts as technology owner, accountable for implementation and maintenance of products/services within Data Analytics, partnering with Product Owners and Business Sponsors
Manages deliverables, risks, status, and quality elements throughout the lifecycle for work efforts; validates operational readiness for production launches
Measures progress toward goals and effectively communicates progress to appropriate stakeholders
Establishes direction and clear sense of meaning to inspire teams to create their own connection and passion to the business goals
Drives team members to leverage or develop well-defined practices and processes that aid in increasing productivity and minimizing waste
Ensures work is delivered on time, within budget, adhering to high-quality standards and meeting customer expectations
Provides transparency in execution and monitoring within delivery plans
Ensures timely and appropriate escalation of delivery issues
Evaluates 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 standard
Assists the delivery manager in implementing the best practices as defined within the Portfolio Management Office (PMO), Agile CoE and SDLC standards and champions ongoing process improvement initiatives
Anticipates and identifies tasks required to support change processing including performing change impact analysis, assigning tasks to project team
members, verbally communicating complex issues, verifying that tasks are completed, and communicating implementation status
Identifies and implements process improvements to increase efficiency, effectiveness, and overall service delivery performance
Supervisory or Management Responsibility:
Management responsibility for the Data Analytics, and AI/ML teams, including hiring, leadership, development, and accountability for performance.
Coach others in their development as a leader and/or a more complex problem solver, and focus on helping others formulate their development agenda
Assists 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
Promotes empowerment of the team, ensures that each team member is fully engaged in the project and makes a meaningful contribution, and encourages a sustainable pace with high levels of quality for the team
Communicates and engages with highly technical knowledge workers. Able to challenge team thought processes to drive them to better solutions.
Establishes operational/team objectives and goals.
Budget Responsibility:
Contributes to the development of departmental budgets and actively manages budget to plan
Shares fiscal responsibility for the organization’s technology investments and future planning of the organization’s spend
Monitors and reports monthly cloud usage and spend
Qualifications Minimum Education and/or Experience:
Bachelor’s degree in Information Systems, Computer Science or equivalent
Minimum of 10 years of Information Technology experience
Experience with Data, Data Management and/or Data Analyticsand modern AI/ML ecosystem
3-4 Years Experience with Snowflake
Experience with Matillion
Experience with Python
Experience working in an offshore/onshore collaborative environment
Agile (SAFe) experience
Experience with modern data architecture (e.g. data lakes, cloud platform AWS/GCP/Azure)
Familiarity with AI/ML lifecycle management tools and practices.
Solid understanding of and demonstrated experience in using appropriate tools: MS Office and VersionOne
Skills/Abilities:
Excellent oral and written communications skills
Strong interpersonal skills including coaching, collaborating, and team building
Proven ability to lead software development efforts or implement services and ensure objectives, goals, and commitments are met
Strong analytical and problem-solving skills
Solid technical project management and/or leadership skills including the ability to plan, organize, and steer activities with competing demands
Developing knowledge and understanding of business needs with the ability to establish/maintain elevated level of customer trust and confidence
Able to identify and understand complex problems/issues and develop solutions
Ability to travel without restrictions (domestic and international).
Core Competencies:
Build relationships
Develop people
Lead change
Inspire Others
Think critically
Communicate clearly
Create accountability
Benefits Overview:
Benefits are subject to change and may be subject to specific elections, plan, or program terms.
This role is eligible for the following:
Medical, dental & vision
Hospital plans
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
Company paid Short and long-term disability
Health & Dependent Care Spending Accounts (HSA & DCFSA)
Transportation benefits
Employee Assistance Program
Tuition Assistance
Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)
Salary Range:
This position is bonus eligible.
Salary range is $116,600-$174,800
The IS Manager is responsible for planning, leading, organizing, and motivating the Data Analytics team within Global Enterprise Applications and Data 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, including machine learning
models and AI-driven analytics, as they relate to the Data Lake, the Data Warehouse, and other integrated solutions and services to meet the current and future needs of the business.
This role is responsible for managing a portfolio of efforts (projects, product backlogs, etc.), using Scaled Agile, in a fast-paced environment that may cross multiple operating companies and support organizations. Role also involves supporting data science teams by coordinating the development and operationalization of AI/ML models and pipelines. The IS Manager will leverage AI and machine learning techniques to enhance data-driven decision-making, optimize processes, and drive innovation across the organization.
Responsibilities Essential Functions:
Acts as technology owner, accountable for implementation and maintenance of products/services within Data Analytics, partnering with Product Owners and Business Sponsors
Manages deliverables, risks, status, and quality elements throughout the lifecycle for work efforts; validates operational readiness for production launches
Measures progress toward goals and effectively communicates progress to appropriate stakeholders
Establishes direction and clear sense of meaning to inspire teams to create their own connection and passion to the business goals
Drives team members to leverage or develop well-defined practices and processes that aid in increasing productivity and minimizing waste
Ensures work is delivered on time, within budget, adhering to high-quality standards and meeting customer expectations
Provides transparency in execution and monitoring within delivery plans
Ensures timely and appropriate escalation of delivery issues
Evaluates 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 standard
Assists the delivery manager in implementing the best practices as defined within the Portfolio Management Office (PMO), Agile CoE and SDLC standards and champions ongoing process improvement initiatives
Anticipates and identifies tasks required to support change processing including performing change impact analysis, assigning tasks to project team
members, verbally communicating complex issues, verifying that tasks are completed, and communicating implementation status
Identifies and implements process improvements to increase efficiency, effectiveness, and overall service delivery performance
Supervisory or Management Responsibility:
Management responsibility for the Data Analytics, and AI/ML teams, including hiring, leadership, development, and accountability for performance.
Coach others in their development as a leader and/or a more complex problem solver, and focus on helping others formulate their development agenda
Assists 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
Promotes empowerment of the team, ensures that each team member is fully engaged in the project and makes a meaningful contribution, and encourages a sustainable pace with high levels of quality for the team
Communicates and engages with highly technical knowledge workers. Able to challenge team thought processes to drive them to better solutions.
Establishes operational/team objectives and goals.
Budget Responsibility:
Contributes to the development of departmental budgets and actively manages budget to plan
Shares fiscal responsibility for the organization’s technology investments and future planning of the organization’s spend
Monitors and reports monthly cloud usage and spend
Qualifications Minimum Education and/or Experience:
Bachelor’s degree in Information Systems, Computer Science or equivalent
Minimum of 10 years of Information Technology experience
Experience with Data, Data Management and/or Data Analyticsand modern AI/ML ecosystem
3-4 Years Experience with Snowflake
Experience with Matillion
Experience with Python
Experience working in an offshore/onshore collaborative environment
Agile (SAFe) experience
Experience with modern data architecture (e.g. data lakes, cloud platform AWS/GCP/Azure)
Familiarity with AI/ML lifecycle management tools and practices.
Solid understanding of and demonstrated experience in using appropriate tools: MS Office and VersionOne
Skills/Abilities:
Excellent oral and written communications skills
Strong interpersonal skills including coaching, collaborating, and team building
Proven ability to lead software development efforts or implement services and ensure objectives, goals, and commitments are met
Strong analytical and problem-solving skills
Solid technical project management and/or leadership skills including the ability to plan, organize, and steer activities with competing demands
Developing knowledge and understanding of business needs with the ability to establish/maintain elevated level of customer trust and confidence
Able to identify and understand complex problems/issues and develop solutions
Ability to travel without restrictions (domestic and international).
Core Competencies:
Build relationships
Develop people
Lead change
Inspire Others
Think critically
Communicate clearly
Create accountability
Benefits Overview:
Benefits are subject to change and may be subject to specific elections, plan, or program terms.
This role is eligible for the following:
Medical, dental & vision
Hospital plans
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
Company paid Short and long-term disability
Health & Dependent Care Spending Accounts (HSA & DCFSA)
Transportation benefits
Employee Assistance Program
Tuition Assistance
Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)
Salary Range:
This position is bonus eligible.
Salary range is $116,600-$174,800