At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
Primary Duties & Responsibilities:
Provides leadership and direction to analytics teams on quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers in order to drive business decisions and address business questions
Takes initiatives to design and develop deliverables based on interpretation of findings and business client needs
Summarizes analysis into user-friendly deliverables by translating detailed data into business-appropriate communication and recommendations.
Delivers results, insights and recommendations (written, verbal, presentations, etc) to business audience to support business decisions.
Contributes to the growth & development of the NMDSI, to foster internal and external partnership
Leads the development of appropriate KPI frameworks, aligning understanding of business process, and measurement to support operations and/or strategy. Utilizes analytics and metrics to improve processes and provide data-driven forecasts that impact the business (costs, risks, etc).
Lead data scientists to apply and integrate advanced statistical, mathematical, data mining, predictive modeling and business analysis skills and techniques
Access, gather, and analyze data from multiple internal and external sources to drive insights into complex business problems, decisions, and performance
Creates and produces forecasts, reports, dashboards, etc. to tell a story through data.
Creates forecasts, recommendations and strategic/tactical plans based on business data and market knowledge
Utilizes analytics and metrics to improve processes and provide data-driven forecasts that impact the business (costs, risks, etc)
Lead production of actionable reports that show key performance indicators, identify areas of improvement into current operations, display root cause analysis of problems, and recommend solutions
Coordinates with analysts on ensuring visualization & design strategies are considered & applied
Creates and is accountable for high quality, value driven work that drives business outcomes; places the user in the center of decision making; and collaborates with team for speed, agility and innovation in work
Applies new perspectives, creative problem solving, and inter-departmental connections to improve enterprise analytical capabilities
Partner with other teams across the enterprise to ensure aligned outcomes in matrixed environment.
Monitor team performance and results through quantitative and qualitative measures of value, outcome, velocity, engagement, and satisfaction
Fosters an environment of continuous learning, curiosity, and ambiguity
Develop and grow the team(s) through training, mentoring, and coaching while also supplementing staff as needed.
Accountable for the performance and results of team
Mentors, guides and coaches engineers within their division for job performance as well as technical and leadership growth
Recruits , hires and onboards talent, ensuring the right mix of talent within team that is excited to drive outcomes
Knowledge, Skills, Abilities:
Master’s degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field
6-8 years of professional experience
At least 6 years of professional data science or analytics experience
5+ years of experience managing, building and deploying analytics & data science
Business analysis skills to understand business processes and data flow
Ability to inject data to solve business problems
Develop KPI Frameworks
Lead and manage to key business deliverables
Drive out strategy and thought leadership jointly with the business partners
Understand relationship between data science, business processes, and KPI's
Ability to manage and lead analysts & data scientists
Proven ability to build rapport, negotiate, gain the confidence and work successfully with business leaders across the company
Proven ability to lead decision making process through idea sharing and consensus building
Experience in coaching and mentoring staff members
Proven track record in meeting aggressive deadlines
Prioritizes work to drive business value
Proven management skills including negotiating, leadership, delegation, planning, and organization
Proven ability to identify data requirements for analytical needs
PhD degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics, Business or related field preferred