Director, Data - Vancouver, Canada - Later

Later

Verified Company

Vancouver, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence), and Later, the best social media management platform (now Later Social) and first-to-market link in bio tool.

We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest.

In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity.

We're now on a mission to build the world's first Social Revenue Platform.

Later will be the first inclusive platform where social media managers, influencer managers, and creators can come together to collaborate on content.

We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.

As a trusted partner and go-to source for social media advice, we help create an engaged community for reliable performance and repeatable growth.

About this position:

Later is seeking a strategic-minded professional to take on the Director, Data Operations role responsible for managing and driving the Company's data engineering, business intelligence, and data science functions.

This individual will play a strategic role in shaping our strategy but will also be hands-on in implementing and refining our processes and data.

If you're a player and a coach, passionate about data that drives a company forward, and want to make an impact, we want to hear from you.

What you'll be doing:

Leadership

Oversee the hiring and training of new and existing staff, conduct performance reviews, and provide leadership, technical guidance, and coaching to staff.
Build organizational talent by creating a learning environment that ensures employees realize their highest potential.
Collaborate with the product, sales and marketing, operations, finance, and IT teams on prioritized technical solutions.
Provide technical leadership in data architecture, ensuring the best data modeling, storage, and retrieval practices.
Facilitate the best practices in Master Data Management across the company.
Manage your team's sprint goals, stories, and deliverables.
Effectively convey the company's strategy and vision to the data team and enable the team through organized meetings, coordinated initiatives, and crossteam coordination.
Ensure Process and Procedural documentation is accurate and updated.

Data Strategy & Infrastructure

Own the Data Governance framework
Champion utilization of business intelligence technology across business functions. Lead and develop an enterprise approach to operational analytics, data visualization, analysis, and modeling.
Oversee the integration of data sources to create a unified and comprehensive view of company performance.
Develop and maintain a comprehensive tag management strategy, ensuring accurate data collection and adherence to best practices.
Drive the design and optimize data visualization tools to provide actionable insights that enhance business decisionmaking.

Data Governance

Develop and communicate a comprehensive data management and automation strategy aligned with organizational goals; stay informed about industry trends, emerging technologies, and best practices to enhance the data ecosystem roadmap continually.
Establish and enforce data governance practices, including data quality standards, data lineage, and documentation. Ensure compliance with data privacy regulations, such as GDPR or CCPA.
Ensure data is adequately protected and encrypted at every step in the data pipeline, from ingestion to dashboards.
Use metrics and analysis to ensure Data Quality is accurate

Problem Solving & Collaboration
- develop strategies to leverage data for operational metrics, sophisticated data analysis, and advanced data modeling to solve business problems.

Ensure the Data Science team solutions clearly reflect and effectively solve the business problem in question and Perform code reviews as required.
Manage a portfolio of business intelligence projects to ensure ontime delivery.
Troubleshoot datarelated issues, identify root causes, and direct solutions to prevent recurrence.
Comfortable with ambiguity and flexible to work in a fastpaced, fluid environment where formal requirements or guidelines may not always be readily available.
Collaborate with multiple departments to track requirements and performance, generate insights, and help create a Data roadmap to Impact Overall Company outcomes.

We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply