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Director Advanced Analytics & Artificial Intelligence, Data Office

BANQUE DE DÉVELOPPEMENT DU CANADA

This is a Contract position in Maple Ridge, ia posted September 22, 2022.

No other bank is doing what we do.

At BDC, we help Canada and its entrepreneurs create a prosperous, inclusive and green economy.

Our mission is to help Canadian businesses thrive by providing financing, capital and advisory services.

We’re devoted to Canadian entrepreneurs.

We’re also dedicated to our employees.

Adaptable.

Inspiring.

Different.

There’s a reason we like to work here, and we think you’ll like it too.

Join BDC and help make a difference Diversity.

Equity.

Inclusion.

They’re more than just words for BDC.

These concepts are foundational to our success and to our ability to attract, retain, mobilize and develop the right talent, as well as to offer a healthy, professional and collaborative environment.

We are committed to cultivating and preserving an environment where all employees can thrive, and, for over a decade, we have been recognized as one of Canada’s Top 100 Employers and one of Canada’s Best Diversity Employers.

In recruiting for our team, we welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation, beliefs, experiences, and more.

POSITION OVERVIEW Reporting to the AVP Data & Analytics, the Director of Advanced Analytics & Artificial Intelligence (AAAI) is a key leadership role within the Data Office contributing to the development, execution, and monitoring of AAAI strategy and roadmap at BDC.

This is a business and technical leadership role which would bridge both vision and execution.

The candidate will lead BDC into advancing our predictive and prescriptive capabilities including Artificial Intelligence, Machine Learning (ML) and/or applied statistics to build business solutions that help drive business value.

Key to success in this role is being a functional expert, driven by delivering business value and helping the team across the data science lifecycle from business problem definition to feature engineering to deployment and measurement.

CHALLENGES TO BE MET Own the development, execution and alignment of a consistent and cohesive AAAI strategy and roadmap aligned with enterprise priorities Lead a team of Data Scientists, Data Engineers and Data Analysts, internal & external consultants (10 -15 resources) within the Data Office in creating and delivering high quality predictive and prescriptive solutions Change champion passionate for increasing advanced analytics literacy through business partnership Responsible for influencing and bring together advanced data analytics teams across the enterprise together for vision and execution Own the oversight and execution on high visibility data science projects and ensure projects deliver value Manage the prioritization of use cases, establish, and implement measurement discipline into team activity Provide thought leadership, subject matter expertise to the team to build scalable solutions that can be adopted and put into practice Recruit, hire and retain a high performing team of data scientists, engineers, and analysts Financial services or banking industry experience is an asset WHAT WE ARE LOOKING FOR Machine learning lifecycle from dev to prod deployment System development lifecycle (Managing Python Packages & libraries) Knowledge of data preparation, Viz & ML/DL libraries: Scikit-learn, TensorFlow, PyTorch, Pandas, Numpy Experience in ML Techniques: Supervised (Ensemble learning, SVM, Neural Nets), Unsupervised learning (Clustering, dimensionality reduction) DevOps Experience, build & release pipelines, continuous Integration & delivery Experience with MLFlow and model monitoring Experience with Databricks and delta lake architecture 10 years of progressive advanced analytics and AI experience focused on ML modeling and 5 years leading teams in developing and implementing AI, ML, Data science solutions Bachelor’s degree of Science degree in Computer Science, Mathematics, Stats, Engineering or other advanced technical data & analytics related discipline Master’s degree in Science/ Phd in a scientific discipline or equivalent work experience Strong knowledge of Data engineering Proven track record of creating, deploying, and monitoring ALML pipelines Understanding of advanced statistical concepts Inspire, motivate, and coach Data Scientists, Data Engineers, and Data Analysts Highly effective in leading change management Results driven, highly focused on ownership and accountability Excellent communication skills, can articulate business value of investment in advanced analytics Interpersonal skills, foster collaboration and build cross functional relationships Provide constructive challenge, diplomacy and influencing skills Bilingualism (French and English) written & spoken With us, you’ll be able to achieve the work/life balance you’re looking for, with competitive working conditions and above-market flexible benefits.

This includes modern workspaces to work from when you are in our offices, and, for some specific positions, the ability to work remotely, on reserve, and/or within your community.

While we appreciate all applications, we advise that only the candidates selected to participate in the recruitment process will be contacted.

If you are a candidate with a disability and need an accommodation to complete the application process, please email us at accessibilityBDC.ca , and include your full name, the best way to reach you, and the accommodation needed to assist you with the application process.