Director, Strategic Analytics

Job Description

Salary:

This is a full-time hybrid position in our Burlington, Vermont or Washington, DC area office.

IXIS is seeking an experienced data analytics practitioner with demonstrated technical and organizational leadership in the field of marketing and digital analytics to fill the position of Director, Strategic Analytics for the company. The core responsibilities for this role will be to apply and innovate quantitative methodologies that provide actionable insights into our clients’ customer journeys, including predictive customer lifetime value, churn modeling, segmentation and profiling, media attribution, and incrementality estimation. You will be asked to lead and grow a highly efficient and strategic data science team within an organization experiencing rapid growth and transformation. You will be encouraged to develop solutions that can be scaled within our proprietary ATLAS data platform, and you will have the opportunity to contribute directly to our product roadmap by productizing innovations developed during client engagements. The ideal candidate will have multiple years of experience performing advanced customer analytics for top-tier businesses in omnichannel retail, CPG, automotive, or similar verticals.

We offer competitive compensation packages including health, dental, life, short-term and long-term disability and vision insurance, 401(k) with company match, flexible work schedules, and exceptional growth opportunities.

Responsibilities

Lead, manage and grow a client-facing data science team with a particular focusing on finding and developing talent who can succeed in a complex organization

Work closely with Account Strategy teams to ensure that analysis is thorough, accurate and actionable

Maintain the overall analytics strategy to align with business and strategic objectives set out by client and client strategy teams

Plan, design and implement quantitative solutions for our B2C clients that drive actionable and ongoing insights, leveraging state of the art ML/AI technologies and libraries to solve real-world business problems

Provide technical leadership for advanced customer analytics initiatives, including predictive customer lifetime value, churn modeling, segmentation and profiling, media attribution, and incrementality estimation

Lead requirements gathering for advanced data science projects, oversee technical/design documentation, and communicate progress and results to non-technical audiences

Organize and oversee the progress of technical project teams, including other data scientists, data/ML engineers, and data analysts, as required to deliver larger quantitative solutions

Identify and prioritize opportunities for new data science products and ML/AI applications as offerings for our clients and/or as features within our ATLAS data platform

Use Python/R and a modern data science stack (dbt, AWS, Docker, Gitlab) to ensure that solutions are reproducible, extensible, and easily integrated into the ATLAS data platform

Lead by example: Foster a culture of curiosity, creativity, experimentation, and continual improvement among the data science team

Work with data/ML engineers and back-end engineers to deploy and maintain predictive models in an AWS production environment

Collaborate effectively across teams and departments, including strategists, account management, engineers, product, and design/UX

Prioritize multiple tasks intelligently and maintain clear lines of communication with supervisor and team

Minimum Requirements

B.A./B.S. in a quantitative field (such as Statistics, Applied Math, Data Science or Economics); post-graduate degree preferred (commensurate professional experience will be considered)

5-7 years’ professional experience with programmatic data analysis, visualization, and modeling using Python/R + SQL; must be adept at functional programming and love writing clean code – exposure to DevOps and MLOps practices a plus

Professional experience with A/B testing, ideally in an ecommerce context, including design and analysis of controlled experiments

Expertise working with data in the wild, including structured and unstructured data, record linkage/householding, data munging/reshaping, descriptive and inferential statistics, and data visualization for exploratory and presentation purposes

Demonstrated success developing and deploying ML pipelines for business applications

Automotive and/or retail eCommerce experience a plus

Fluency with marketing fundamentals (up to and including MMM) and digital analytics (Google/Adobe Analytics) a big plus

Uncompromising attention to detail, critical thinking skills, and a systematic approach to problem-solving, with strong data intuition

About IXIS

Founded in December 2012 in Burlington, Vermont, IXIS is a dynamic data analytics and software company. Working with top global brands across a range of industries, we leverage custom software solutions and advanced AI-powered tools and algorithms to transform how our clients engage their customers and grow. Our patented data-socialization tool, ATLAS, takes a revolutionary approach to sharing business intelligence, generating innovative solutions and new ways for teams to collaborate, track performance, and measure success. Part of the Inc. 5000 every year since 2020, we believe data literacy is transformational—both to company culture and performance in the marketplace.