← Canon taxonomy
M3
DATA3.GEN.M3
Data Science Data Science Management
Data Science

Data Science Data Science Management

DATA3.GEN.M3

M3M3 — Senior Managermedium0.70draftglobalv1

Leads teams of analysts and scientists, coordinating their projects and development.

Level
M3 · M3 — Senior Manager · 8–12 yrs
Function · Focus
Data Science · General
Market pay (median)
Pay basis
model pending

Leads teams of analysts and scientists, coordinating their projects and development.

The story of this role

As a Data Science Data Analyst, you transform raw data into actionable insights that drive business decisions.

Who does this work

You, the Data Science Data Analyst, are tasked with understanding complex data landscapes.

The problem this role solves

  • The external problem: Your team struggles to make data-driven decisions due to unclean or poorly structured data.
  • The internal problem: You feel overwhelmed by the vast amount of data and unsure where to start in the analysis process.
  • Why it matters: Every business deserves to leverage its data effectively to make informed choices.

What the role brings

We provide tools, resources, and support to help you effectively collect, clean, and interpret data.

The plan

  1. 1. Identify business needs by collaborating with stakeholders.
  2. 2. Collect relevant data from various sources.
  3. 3. Clean and structure the data to ensure accuracy.
  4. 4. Analyze the data to uncover trends and insights.
  5. 5. Present actionable findings and recommendations to your team.

The call to action

Start utilizing best practices in data analysis today to enhance the quality of your insights.

What's at stake

Failing to effectively analyze data can lead to missed opportunities and poor decision-making for your organization.

Success looks like

You gain confidence in your analytical skills, leading to clear, data-driven recommendations that support business goals.

Summary

Leads teams of analysts and scientists, coordinating their projects and development.

Level — M3 — Senior Manager

Leads multiple teams or a sub-function; sets goals and owns cross-team execution.

Scope
Multiple teams or a sub-function
Autonomy
Sets goals within functional strategy
Complexity
Multi-team execution and resourcing trade-offs
Impact
Sub-function outcomes
Decision rights
Owns goals, budget input, and people decisions across teams
Leadership
Manages managers and/or several teams
Typical experience
8–12 yrs

Core outputs

No core outputs recorded yet.

Adjacent roles

Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →

Componentsshow ▾

Responsibilities8

  • Setting the roadmap for the data science teamcommonlevel
  • Prioritizing projectscommonlevel
  • Mentoring team memberscommonlevel
  • Managing team performance and developmentcommonlevel
  • Aligning data initiatives with business goalscommonlevel
  • Communicating strategy and results to executivescommonlevel
  • Fostering a culture of innovationcommonlevel
  • Overseeing budget and resource allocationcommonlevel

Tasks3

  • Set team roadmapcommonlevel
  • Prioritize and oversee projectscommonlevel
  • Mentor and develop teamcommonlevel

Skills8

  • Team leadershipcommonlevel
  • Strategic planningcommonlevel
  • Project prioritizationcommonlevel
  • Executive communicationcommonlevel
  • Resource allocationcommonlevel
  • Performance evaluationcommonlevel
  • Innovation managementcommonlevel
  • Budget oversightcommonlevel

Knowledge8

  • Data science managementcommonlevel
  • Strategic alignmentcommonlevel
  • Team leadershipcommonlevel
  • Project managementcommonlevel
  • Innovation strategiescommonlevel
  • Business communicationcommonlevel
  • Resource planningcommonlevel
  • Performance metricscommonlevel

competency8

  • Blend of technical understanding with strong management and communication abilitiescommonlevel
  • Leadershipcommonlevel
  • Strategic Visioncommonlevel
  • Team developmentcommonlevel
  • Resource managementcommonlevel
  • Innovationcommonlevel
  • Stakeholder engagementcommonlevel
  • Performance managementcommonlevel

qualification4

  • 8-10+ years of experiencecommonlevel
  • Demonstrated success in delivering value from datacommonlevel
  • Master's degree in Management or related fieldcommonlevel
  • Proven leadership in data sciencecommonlevel
Title aliasesshow ▾
AliasTypeConfidenceApproved
Senior Manager, Data Sciencecommonmedium0.66
Data Science Senior Managercommonmedium0.60
Data Science Data Science Managementcommonmedium0.60
Manager/Director rolescommonmedium0.50
Classification mappingsshow ▾

O*NET / SOC

  • code=15-2051.00title=Data Scientistssource=corpusreviewStatus=approved