Data Science Sr. ManagerWith a career at The Home Depot, you can be yourself and also be part of something bigger.

The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies, and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business.

As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

Key

Responsibilities

50% People Management & Team Leadership

• Provide leadership, mentorship, and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain, and develop top talent to build an effective and high-performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure a high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments

15% Program Management

• Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources, and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings, and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs

25% Strategy & Business Development

• Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools, and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high-level strategy and optimizing talent management

10% Technical Exploration & Development

• Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model production are leveraged

Direct Manager/Direct Reports: This position reports to Director or above

This position has Direct Reports and manages programs

Travel

Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

Must be eighteen years of age or older.

• Must be legally permitted to work in the United States.
• Demonstrated proficiency in predictive modeling, data mining, and data analysis
• Proficient managing and growing team members in a professional setting

Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting

Demonstrated experience with translating high-level strategy to tactical execution

Preferred Qualifications

11

years of experience in business intelligence and analytics

Previous people or project team management experience

Demonstrated expertise in predictive modeling, data mining, and data analysis

Mastery running queries against data (preferably with Google BigQuery or SQL)

Proficient with data visualization software (preferably Tableau)

Mastery utilizing statistical techniques to identify key insights that help solve business problems

Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search, or NLP

Minimum

Education

The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred

Education

No additional education

Minimum Years of Work

Experience

10

Preferred Years of Work

Experience

No additional years of experience

Minimum Leadership

Experience

None

Preferred Leadership

Experience

None

Certifications

None

Competencies:Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs

Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals

Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization

Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals

Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

Develops Talent: Developing people to meet both their career goals and the organization's goals

Directs Work: Provides direction, delegating and removing obstacles to get work done

Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives

Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action

Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity

Interpersonal Savvy: Relating openly and comfortably with diverse groups of people

Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics

Persuades: Using compelling arguments to gain the support and commitment of others

Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies