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    Managing Director, Data and Analytics - Arlington, United States - Lovelytics

    Lovelytics
    Lovelytics Arlington, United States

    1 week ago

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    Description

    Job Description

    Job Description

    We are looking for a Managing Director to join our team and be at the helm of our dynamic and fast growing Data and Analytics Team (BI and Data Engineering and Cloud). As a hands-on leader, you'll spearhead a team of talented data engineers, analytics engineers, and visualization specialists. Reporting directly to our Head of Technical Capabilities, you'll leverage your technical prowess and leadership finesse to tackle our clients' toughest data dilemmas and drive Lovelytics toward its growth targets.

    Your journey with us will involve not only guiding our team to deliver excellence but also growing current partnerships (Databricks, Tableau, etc) and forging new partnerships to expand our reach and impact. Ready to dive into the heart of data innovation and growth? Join us as we chart new territories in the world of analytics

    Role Location: Open to remote candidates in the US in the following states: MD, DC, CA, IL, IA, IN, MA, ME, NC, TX, TN, GA, CO, NY, NJ, VA, FL, PA, OH, OR with preference for candidates in EST.

    Primary Job Responsibilities:

    • Apply technical expertise to design and implement analytics solutions across all verticals
    • Lead a team of roughly 50+ consultings and senior managers within the practice to ensure productivity, employee satisfaction, and professional growth.
    • Work hand-in-hand with other Managing Directors and the Head of Capabilities to align the technical development of IP with what can be sold in the market.
    • Manage the utilization and revenue of this capability area, extending and expanding opportunities inside of existing accounts, and managing initiatives related to product and solution development.
    • "Sharpen the saw" by continuing to build your knowledge of modern analytics technologies, using your expertise to provide thought leadership and best practices to the team and overall organization.
    • Serve as a trusted advisor to our clients, understanding their unique challenges, goals, and opportunities related to Data Engineering & BI
    • Develop and implement effective data strategies and governance frameworks using Databricks for our most strategic clients. Assessing clients' data capabilities, solving for gaps, and providing recommendations for improving data quality, integrity, and security.
    • Act as the leader and escalation point for clients and stakeholders across the team and a portfolio of engagements
    • Be responsible for identifying hiring needs, managing P&L, and the overall capability team's performance
    • Have a deep focus on the growth and career development of the team by understanding expectations, staying abreast of the team's performance, and aligning team members with new opportunities.
    • Work with agility and wear many hats in a scrappy, entrepreneurial environment

    Our Ideal Candidate's Skills and Experiences:

    • 10+ years of client-facing experience, with a focus on hands-on data and analytics solutions a must.
    • 5+ years of leadership in a consulting organization, adept at growing, scaling and leading diverse teams with empathy and rigor
    • Proficient with Azure, AWS, and deep expertise in Databricks
    • Proven track record in managing team KPIs: Utilization, Revenue, and Gross Margin
    • Comprehensive understanding of data management, governance, BI, and Data engineering frameworks for business applications
    • Dedicated to people leadership, career development, and coaching
    • Strong project management abilities, capable of overseeing highly strategic projects
    • Exceptional business acumen, communication, and presentation skills with direct experience engaging senior stakeholders

    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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