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Director, Data and Revenue Optimization

4 months ago


Old Toronto, Canada TripStack Inc. Full time

About TripStack

We are travel tech entrepreneurs, changing the way millions of people travel.

Our proprietary virtual interlining technology provides access to billions of travel itineraries by combining flights from different airline carriers that don’t traditionally work together. We take our customers from point A to B via C, including land transportation, at the lowest possible price. We are impacting the way people travel and provide higher margin opportunities to our partners that are some of the largest in the travel industry.

We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We’re big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion.

Role

The Director of Data & Revenue Optimization is a senior-level position responsible for leading the company's data, analytics and revenue optimization efforts. The ideal candidate will have a strong background in analytics, data engineering, AI/ ML, and data science, as well as experience in managing and leading business or technology teams. The Director will be responsible for developing and executing the company's data strategy, as well as driving data platform architecture and design. The Director will also be responsible for leading the development and implementation of infrastructure that advances the strategy for AI/ML across the enterprise.

Desirable Background

An experienced leader with a proven track record in delivering AI / ML projects at enterprise scale and expertise in data preparation techniques, building machine learning (ML) models and related ML algorithms, and integrating 3rd party AI/ML solutions. A thought leader and visionary with a bias toward action and pragmatic solutioning. An effective collaborator with executives, as well as business and engineering teams.

Key Responsibilities

  • Develop and drive an AI/ML roadmap based on business goals, leadership direction, and collaboration with Sales, Product, and Engineering teams
  • Drive data platform architecture, design, and technology selection or development to support best-in-class AI-powered functionality within the product
  • Serve as an effective and discerning decision-maker on whether to build or buy solutions, considering business value, time-to-market, and operational efficiency while ensuring choices align with organizational goals and priorities
  • Build and effectively communicate data stories to executives and key stakeholders via presentations, written summaries, and data visualizations
  • Establish and enforce data quality standards and governance policies to ensure data accuracy, consistency, and compliance with industry best practices and expectations
  • Be a thought leader on the application of AI/ML across TripStack and develop and deploy solutions to either improve efficiency or product performance
  • Lead, recruit, mentor and manage a global team (5-10 people) of data analysts, data engineers and data scientists focused on creating and executing on a strategic roadmap

Key Requirements

  • Education: BA/MS in Computer Science or a related technical field, with a focus on AI/ML, Big Data, and Analytics.
  • Technical Expertise: Diverse experience in AI model development, software engineering, and supporting complex production systems.
  • Data Proficiency: Expertise in data modeling and exploration, including large-scale data mining and feature engineering.
  • Leadership & Vision: Strong leadership and team management skills, with a proven track record of building and leading high-performing teams while providing vision and strategic direction.
  • Industry Knowledge: Thought leadership and a keen understanding of industry trends and best practices in the AI/ML space.
  • Operational Excellence: Proven ability to achieve individual, team, and organizational objectives, driving operational excellence.
  • Analytical Mindset: Strong analytical mindset with a focus on challenging the status quo and continuous improvement.
  • Communication Skills: Ability to translate complex problems into clear, non-technical terms.
  • Software Engineering Skills: Proficiency in programming languages such as Java, Golang, SQL, R, Python, etc. Experience with systems like Kafka, Red Panda, and GCP.
  • Business Intelligence: Over 10 years of experience, emphasizing Business Intelligence, Data Modeling, ETL, and Analytics, working with BI systems like Looker.

Benefits

What it takes to succeed here

Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in.

Learn more about our values here

What we offer

We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team

At TripStack, we proudly believe in embracing diversity. This is true for our team, clients, communities and stakeholders. We are an equal opportunity employer and committed to creating a safe, healthy and accessible environment. We encourage applications regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other grounds protected by law. Please let us know if you need any accommodations during any part of the recruitment process.

TripStack thanks all applicants for their interest, however only those selected to continue in the process will be contacted.

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