Inclusively is partnering with a major airline to hire a JOB NAME. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

Overview & Key Responsibilities

The Manager, Data and AI Operations plays a key role in the Enterprise Data Office (EDO) organization which will be responsible for delivering 24/7 Production Data Support for all the Data Load processes to the company’s Analytical and AI Environments. Supports, influences, and communicates the mission, goals, objectives and practices of the department, technology group, and company. Demonstrates leadership across multiple projects, peer groups, and departments in thought, initiative, responsibility, teamwork, actions, and culture. Effectively manages relationships with the customer (internal and external). Responsible for building team including interviewing, training, and performance reviews. Demonstrates the ability to lead, motivate and develop staff.

Essential Responsibilities:

• Manage end-to-end operations of data loading processes/jobs across all data & AI platforms which include the Enterprise Data Warehouse, Data Lakes, AI/Machine Learning, Data Pipelines, ETL, Business Intelligence and Streaming Platforms
• The ideal candidate will be an innovative problem-solver with a passion for developing and managing high-performing teams
• Manage AWS based cloud infrastructure, data engineering, and data operations
• Develop and implement comprehensive strategies that drive data processing and operations success
• Supervise/Manage all aspects (including coaching, providing direction, staffing, delivering reviews, setting aligned objectives, time reporting, etc.) of direct reports' overall performance. The Team is spread across the US and India to provide the 24/7 coverage.
• Leading and motivating teams to achieve objectives and managing multiple projects simultaneously
• Ensure that each deliverable contributes to the customers' business goals being met, and that customer satisfaction is high.
• Collaborate with the portfolio Directors, General Managers, Managers, Development teams, Architects & other stakeholders on deliverables for the teams and the support of those deliverables.
• Responsible for leading a group of individual contributors that are responsible for providing 24/7 support for all load jobs that add data to the Enterprise Data and AI Technology Data Analytical Environments. Includes supporting code in multiple areas (Informatica, Python, Teradata DB, AWS, Databricks). Part of this support includes technical support, point of contact for issues, creating reports, monitoring service levels, enhancing program code to fix defects and interface for customer services issues.
• Ensure that the company standards and procedures are adopted and implemented.
• Consult with other technology groups to ensure support requirements are met.
• Responsible for reviewing and approving group changes and additions and supporting Enterprise Change Management.
• Keeps abreast of industry trends through benchmarking and participation in professional associations.
• Communicate with the Departmental leadership vision/strategy and then manage people and technology to follow that direction.
• Monitors metrics, problems & trends to determine solutions and required process changes that will make the function more efficient.
• Competent with AI use cases especially from a support perspective.
• Familiar with cloud data platforms e.g. Teradata, Databricks, Snowflake as well as AWS Architecture and usage.
• Be responsible for cloud cost and improving efficiency.

What you need to succeed (minimum qualifications)

• Communication Skills - Strong technical and non-technical communication skills. Fosters open communication by encouraging the expression of ideas and opinions. Assures smooth flowing, timely transmission of critical information. Oral and written communication is well organized, clear, accurate, grammatically correct, and is adapted for the target audience. Listen to others without interrupting. Seeks clarification and confirms shared understanding when communicating.
• Customer Focus - Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind. Establishes and maintains effective relationships with customers and gains their trust and respect.
• Integrity and Trust - Is widely trusted; is seen as a direct, truthful individual; can present the unvarnished truth in an appropriate and helpful manner; keeps confidences; admits mistakes; doesn't represent him/herself for personal gain.
• Motivating Others - Creates a climate in which people want to do their best; can motivate many kinds of direct reports and team/project members; can assess each person's hot button and use it to get the best out of him/her; pushes tasks and decisions down; empowers others; invites input from each person and shares ownership and visibility.
• Personal Accountability - Clearly accepts responsibility for tasks, decisions and actions of self and staff. Is excellent at honest analysis. Doesn't shirk personal responsibility. Answers to customers and colleagues for all aspects of project; sets objectives and goals and measures performance against them.
• Priority Setting - Spends his/her time and the time of others on what's important; quickly zeros in on the critical few and puts the trivial many aside; can quickly sense what will help or hinder accomplishing a goal.
• Perseverance - Pursues everything with energy, drive and a need to finish; seldom give up before finishing, especially in the face of resistance or setbacks.
• Shows Work Commitment - Gets results despite a large workload, shows a sense of urgency to complete work by self and direct reports, will do what it takes to complete challenges, takes initiative to overcome roadblocks.
• Strategic Agility - Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective.
• Technical Credibility - Is seen as a thought leader on technical issues, stays ahead of technical developments in field; knows what new technologies will help the business.
• AWS Understanding of architecture and design
• Provide guidance to software engineering teams who are developing and enhancing applications that combine enterprise data with analytical models and are used throughout the operation
• Mentor teams to deliver applications that align with the agile methodology and encourage frequent engagement with stakeholders
• Encourage regular participation by business stakeholders in the software development process, to ensure that applications developed are prioritized according to business value and meet stakeholder needs
• Consistently prioritizes safety and security of self, others, and personal data.
• Embraces diverse people, thinking, and styles.
• Possesses a high school diploma, GED, or high school equivalency.
• Is at least 18 years of age and has authorization to work in the United States.

What will give you a competitive edge (preferred qualifications)

• Advanced degree in Science, Statistics, Engineering, Business Administration or similar field of study
• Understanding of Large Language Models (LLMs) and Generative AI methodologies like RAG, Vector Stores
• Experience with MLOps with tooling such as MLflow
• Airline Industry experience preferred