Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, 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 delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients. In the last year, Lovelytics has grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners. Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2021, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services. As a Lovelytics Engagement Manager, you will lead strategic client relationships from initiation through delivery. You will act as the primary point of contact for client stakeholders within your aligned Industry, oversee multi-disciplinary project teams, and be responsible for both delivery excellence and account growth. This role requires a blend of client leadership, delivery management, technical fluency, and commercial savvy.

Key Responsibilities

Serve as the strategic partner and trusted advisor to client stakeholders. Oversee day-to-day delivery of data consulting engagements, ensuring quality, timeliness, and client satisfaction. Translate business objectives into data solutions in collaboration with Solution Architects and other engineers Identify and proactively manage risks, scope changes, and resource allocation. Own revenue and margin targets across assigned accounts. Identify upsell and cross-sell opportunities within existing clients and support new business development with an annual goal of $2.5+mil in account growth. In partnership with Solution Architects, develop proposals, SOWs, and pitch materials in collaboration with sales and delivery teams. Lead multi-functional teams across multiple workstreams; support team coaching and career development. Ensure alignment between client expectations and internal delivery capacity. Qualifications 7+ years of experience in consulting, client-facing delivery, or solution-based account management. Background in data, analytics, data engineering, or cloud platforms (e.g., Databricks, AWS, Azure, GCP). Proven ability to lead projects and accounts valued at $250K–$2M+ Strong understanding of data strategy, modern data stack technologies, and delivery lifecycles. Excellent communication, stakeholder management, and problem-solving skills. Comfortable working in ambiguous environments and with evolving client needs. Bachelor’s degree in a relevant field (e.g., Business, Computer Science, Engineering); advanced degree a plus. The base salary range for this position for candidates based in the US is $160,000-215,000 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. 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.