Salesforce Developer
Role details
Job location
Tech stack
Job description
The Senior Manager, Data & Analytics Platform is responsible for leading a team that provides operational support, administration, and engineering services for enterprise data and analytics platforms. This role focuses on ensuring the stability, performance, and effective use of shared analytics tools and environments that enable data engineering and analytics delivery teams.
This position is accountable for day-to-day platform operations, service reliability, and team execution, partnering closely with Analytical Modernization and other Data Technology teams to support delivery outcomes.
-
Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate.
-
This position requires current, unrestricted authorization to work in the United States on a permanent basis. We are unable to support or consider candidates on temporary work authorization, including but not limited to F-1 OPT, STEM OPT, CPT, or any status that requires employer sponsorship now or in the future., * Lead and manage a team of engineers responsible for administration, support, and operational management of data and analytics platforms (e.g., Databricks, Tableau, Power BI)
-
Ensure platform availability, stability, and performance through defined operational processes, monitoring, and incident management
-
Oversee user access, environment management, and security integration across data and analytics tools in alignment with enterprise standards
-
Manage platform-related service requests, support workflows, and prioritization in partnership with delivery teams
-
Support implementation and rollout of platform capabilities required by data engineering and analytics teams
-
Partner with architecture, security, and enterprise technology teams to ensure platform configurations align with standards and requirements
-
Monitor and manage cloud platform usage and costs related to analytics tooling, identifying opportunities for optimization
-
Coordinate platform upgrades, patching, and release activities in collaboration with external teams and vendors
-
Provide input into platform roadmap and improvements based on operational insights and team experience
-
Establish and reinforce standard operating procedures, documentation, and support models for platform services
People Leadership:
- Directly manage and develop a team of engineers (typically 6-8 direct reports)
- Set clear expectations for performance, delivery, and operational excellence
- Provide coaching, feedback, and development opportunities to grow team capability
- Ensure consistent execution of team processes, priorities, and service commitments, Finance Metadata Budgeting Templates Operations Leadership Management Investments Forecasting Informatica Real Estate Data Quality Communication Data Analysis Presentations Virtual Teams Look And Feel, DevOps Writing Planning Operations Leadership Automation Governance Innovation Data Lakes Databricks Scalability Data Science Disabilities Communication Observability Data Strategy Data Curation .NET Framework Data Ingestion Data Pipelines Synapse Citrix Pharmaceuticals Microsoft Azure Data Governance Code Generation Data Processing Azure Cosmos DB Computer Science Machine Learning Data Engineering Technical Acumen Incident Response Data Architecture Advanced Analytics Azure Data Factory Financial Services Talent Development Business Decisions Workflow Management Business Objectives Technical Leadership Programming Languages Emerging Technologies Strategic Partnership Business Intelligence Continuous Development Artificial Intelligence Concept Drift Detection Event-Driven Programming SQL (Programming Language) Scala (Programming Language) Python (Programming Language) Vendor Relationship Management Business Intelligence Development
Requirements
Leadership Management CPT Coding Databricks Communication Collaboration Prioritization Team Processes Microsoft Azure Data Engineering Service Management Workflow Management Incident Management Environment Management Standard Operating Procedure Tableau (Business Intelligence Software), * Typically 9+ years of professional experience and 2+ years of management experience
- Hands-on experience supporting and administering data and analytics platforms, with specific experience in Databricks, BI tools, and cloud-based data environments
- Strong understanding of operational support models, including incident management, service management, and platform reliability
- Experience working in cloud environments (Azure preferred) with awareness of cost and performance considerations
- Ability to manage competing priorities and support requests in a fast-paced, delivery-driven environment
- Strong collaboration skills with the ability to work across engineering, architecture, and business teams
- Clear communication skills with the ability to translate technical concepts for different audiences
Preferred Experience:
- Experience supporting modern data platforms and analytics tooling in a shared services model
- Familiarity with data engineering workflows and how platform services enable delivery teams
- Experience working in environments with both modern and legacy technologies, Microsoft Word System Support Time Management Problem Solving Data Governance Data Management Library Science Business Process Project Planning Computer Science Machine Learning Agile Methodology Analytical Skills Quality Assurance Business Analysis Project Management Influencing Skills Strategic Planning Policy Development Workflow Management Resource Management Process Engineering Conflict Management Collibra (Software) Microsoft PowerPoint Operations Management Business Intelligence Digital Transformation Information Management Commercial Real Estate Business Administration Artificial Intelligence Effective Communication Relationship Management Communications Protocols Ability To Meet Deadlines Change Management Strategy Standard Operating Procedure Scrum (Software Development) Ethical Standards And Conduct Management Information Systems Artificial Intelligence Infrastructure +0
Google IT Automation with Python
Benefits & conditions
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$131,600 - $219,400
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.