Director - Human Capital Insights

Ameriprise Financial Services, LLC•Boston, MA

6d•$110,200 - $193,500•Hybrid

About The Position

Are you passionate about transforming how organizations leverage data, analytics, and AI to drive workforce decisions? We have an exciting opportunity to join our global Human Resources organization as the Director of Human Capital Insights. In the role, you will shape and lead the next evolution of our People Analytics function – partnering with senior leadership to define and execute a forward-looking vision that leverages advanced analytics, predictive modeling, and emerging AI and Intelligent Automation (IA) capabilities. This is a highly visible, hands-on leadership role responsible for accelerating speed to insight – delivering timely, actionable workforce intelligence that enables leaders to make informed, data-driven decisions. You will lead a team focused on generating high-impact insights across the employee lifecycle while modernizing tools, processes, and operating models to support a more agile, data-centric organization. This individual will partner closely with cross-functional stakeholders, including HR leaders, business executives, technology teams, and data governance partners to embed analytics into core decision-making processes and unlock measurable business value. If you are not located close to a physical office, remote work is considered for qualified candidates.

Requirements

Bachelor's Degree or equivalent
10+ Years' relevant experience in analytics, data science or People Analytics
Demonstrated experience with advanced analytics, predictive modeling, and statistical techniques
Proficiency with modern analytics tools and languages (e.g., Python, R, SQL) and data visualization platforms
Experience applying analytics in a data-rich, complex environment
Proven ability to translate complex technical concepts into business-relevant insights
Strong executive communication and storytelling skills
Demonstrated ability to operate as a hands-on leader (player-coach), balancing strategy and execution
Ability to drive alignment across technical and non-technical stakeholders
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

Nice To Haves

Master's degree in quantitative or analytics fields (e.g., Statistics, Computer Science, Engineering, Behavioral Sciences)
Experience incorporating AI/ML and automation into analytics workflows
Experience with HR systems and data platforms (e.g., Workday, Prism, Power BI)
Prior experience leading or scaling a People Analytics or advanced analytics team
Familiarity with Agile or product-oriented deliver models for analytics

Responsibilities

Define and execute the Human Capital Analytics strategy and roadmap, aligned to business priorities and future workforce needs
Lead the evolution from reporting to proactive, insight-driven analytics emphasizing speed, scalability, and business impact
Identify and prioritize high-value use cases across the employee lifecycle, including opportunities to leverage AI and intelligent automation
Lead the design and delivery of advanced analytics solutions, including predictive and prescriptive modeling (e.g., attrition risk, workforce planning, talent mobility)
Accelerate speed to insight by streamlining processes, reducing cycle time, and enabling rapid delivery of actionable insights
Apply statistical methods, data science techniques, and business acumen to uncover trends, root causes, and opportunities
Identify and deploy practical AI and IA use cases that enhance analytics capabilities and improve efficiencies (e.g., segmentation, narrative generation, anomaly detection)
Promote responsible AI practices, including governance, transparency, and risk mitigation
Modernize and scale analytics capabilities through automation, advanced tooling, and self-service solutions
Eliminate manual processes and duplicate efforts, improving how business partners access and consume insights
Partner with data governance teams to ensure data quality, access control, and integrity across key data domains
Translate complex data into clear, compelling executive narratives that inform and influence decision-making
Develop, concise, insight-driven materials for senior leadership, linking workforce analytics to business outcomes
Lead and develop a high-performing, hybrid team supporting analytics and emerging data science capabilities
Foster a culture of innovation. Continuous learning, and data-driven decision making
Act as a champion for the function, removing barriers and enabling team success.