Sr. Manager, Data Science (Product & Engineering)
$129,700 per year
ApplySr. Manager, Data Science (Product & Engineering)
Posted 2 days ago
SENIORITY
Manager
SALARY
$129,700 per year
About the role
- Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
- Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.
- Drive development and execution of the data science methodology and practices strategy.
- Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
- Be a catalyst for advanced analytics and data science across Chamberlain Group.
- Educate business users on advanced analytical concepts.
- Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.
- Identify and apply innovative analytical techniques to achieve business objectives.
- Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.
- Identify and manage the relationship with outside data science resources and vendors.
- Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
- Protect Chamberlain Group’s reputation by keeping information confidential.
- Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies
- Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
- Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.
- Drive development and execution of the data science methodology and practices strategy.
- Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
- Be a catalyst for advanced analytics and data science across Chamberlain Group.
- Educate business users on advanced analytical concepts.
- Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.
- Identify and apply innovative analytical techniques to achieve business objectives.
- Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.
- Identify and manage the relationship with outside data science resources and vendors.
- Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
- Protect Chamberlain Group’s reputation by keeping information confidential.
- Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies
- Supervision Exercised
- Motivate and lead a high performance team by attracting, developing, engaging and retaining team members
- Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company’s policies
- Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications
- Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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