Lovelytics · 18 hours ago
Sr People Partner, Talent Development
Lovelytics is seeking a people-focused Talent Development & People Partner to enhance their talent programs as the company grows. This role involves partnering with leaders and employees to improve performance management, coaching, and career development initiatives.
Artificial Intelligence (AI)Big DataCloud Data ServicesData IntegrationGenerative AIInformation ServicesMachine LearningPredictive AnalyticsTrainingWarehousing
Responsibilities
Lead, refine, and scale the company’s performance management processes (annual, mid-year, quarterly, etc.)
Partner with leaders to ensure performance expectations, feedback, and development conversations are consistent and high-quality
Provide coaching to managers and employees on performance improvement, goal-setting, growth, and feedback
Work closely with Head of People and Head of Delivery to update and maintain career paths, competencies, and progression frameworks across functions
Establish learning and development programs that support career growth and organizational needs for our client facing talent
Serve as a trusted advisor to assigned business units, supporting engagement, team health, and development needs
Qualification
Required
8-10 years of experience, 5+ in Talent Development, L&D, HRBP, or similar people-focused roles, in a professional services firm preferred
Hands-on experience designing performance management cycles
Background in maintaining and enhancing career architecture, competencies, or leveling frameworks
Experience coaching managers and employees at various levels in both regular performance and sensitive matters
Ability to build trusting relationships across all levels and influence without authority
Comfortable working in a fast-paced, high-growth environment with evolving needs
Strong communication, project management, and organizational skills
A proactive, empathetic, people-centered approach to problem-solving
Company
Lovelytics
Lovelytics is a data, AI, and analytics consulting firm, with a focus on Databricks and the surrounding ecosystem
Funding
Current Stage
Late StageTotal Funding
unknown2023-06-14Series Unknown
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