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Lovelytics

Technical Director, Data Solutions (Manufacturing)

  • Canada, United States
  • Full-time
  • $175,000-230,000
  • Posted
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Skills

  • AWS
  • Communication
  • Google Cloud
  • Large Language Models
  • Machine Learning
  • Microsoft Azure
  • Project Management
  • Sales

Job description

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP. 

In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle.

Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000.

We are looking for a Technical Director of Solutions to join our Manufacturing practice and act the industry expert and solution architect — leading technical strategy on key engagements and industry's asset roadmap, partnering with the IP team to prioritize, build, and package sellable assets into sellable offerings, while supporting industry marketing through POVs, blogs, and accelerator adoption.

Primary Responsibilities

•Serve as the Technical Subject Matter Expert for the industry, acting as solution architect and technical lead/SME on the industry's most important deals
•Interface with technical leaders across industry accounts to build and maintain strategic relationships
•Act as product and requirements owner for backlogged assets, partnering with the IP team on solutioning, build, and project management
•Drive adoption of company accelerators across engagements to improve delivery efficiency
•Oversee pre-sales standards and provide QA review of recommended technical solutions across industry projects
•Own the industry's asset roadmap, prioritizing sellable and reusable assets in partnership with the IP team
•Collaborate with the Industry teams to package assets into sellable offerings and support their go-to-market

Qualifications

•10+ years in data engineering, data architecture, analytics, or a related technical discipline, with meaningful time spent in a client-facing solution architecture role focused on Manufacturing.
•Deep, hands-on expertise with the Databricks Lakehouse Platform and the broader cloud data ecosystem (AWS/Azure/GCP) — including data engineering, data governance, and, where relevant, ML/GenAI capabilities ,sufficient to act as the technical authority on an engagement.
•Track record serving as solution architect and/or technical lead on complex, high-stakes client engagements, with accountability for technical direction and delivery outcomes.
•Pre-sales experience, scoping, estimating, and presenting technical solutions to prospective clients, including comfort presenting to executive and C-level stakeholders.
•Experience owning a product, backlog, or asset roadmap, ideally translating repeatable delivery work into reusable, sellable IP (accelerators, frameworks, templates) in partnership with a product/IP function.
•Experience partnering cross-functionally with product, sales, and go-to-market teams to package technical capabilities into marketable offerings.
•Strong technical QA instincts, able to review solutions designed by others against best practices, feasibility, and reusability standards, and give direct, credible feedback without formal authority over the team involved.
•Excellent written and verbal communication skills, including experience producing architecture documentation, technical proposals, and executive-ready presentations.

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability. 

The base salary range for this position for candidates based in the US is  $175,000-230,000  per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Employees in Ontario, CA are paid using Canada market data in CAD. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.

 

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability. 

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