
Manager of Software Delivery
MCKINSEY & COMPANY, INC. UNITED STATES
Newark, NJ · HybridFull-time$165–230K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
McKinsey & Company seeks a Manager of Software Delivery to lead healthcare data and analytics implementations, from discovery and solution design through deployment and ongoing support. The role also develops client operating capabilities and reusable delivery approaches, leads and coaches project teams, and improves internal processes. The position is hybrid and based in Newark, New Jersey.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Experience Required
2 years
Minimum Education Required
Master's Degree
Compensation
$165,200.00 - $230,100.00 / Yearly
Hours Per Week
35
Number Of Positions
1
Shift
First Shift (Day)
Job Description
McKinsey & Company Inc. US is seeking a Manager of Software Delivery in Newark, NJ. Lead complex projects (diagnostics, deployments, and ongoing support) to implement healthcare data and analytics solutions by defining project objectives, success measures, governance, and milestones; developing integrated delivery plans; directing project execution and decision-making; managing risks, issues, and dependencies; and overseeing deliverables, system deployment, stabilization, and post-implementation support. Work with clients and internal stakeholders during the proposal phase to define scope and delivery approach by leading discovery discussions to identify business needs and use cases; gathering functional and data requirements; assessing data feasibility and compliance considerations; developing solution architecture and approach; estimating effort and timelines; and defining scope, risks, and statement-of-work terms. Develop and implement plans to build client operational capabilities by assessing readiness to manage reporting, data pipelines, and refresh processes; defining operating models and ownership structures; creating SOPs and documentation; sequencing transition activities; and establishing criteria for independent execution. Develop and standardize reusable client-facing solutions and delivery approaches by identifying recurring engagement needs; creating productized analytics offerings and reference implementations; converting approaches into client-ready playbooks and reference materials; defining external implementation standards; and supporting adoption across client engagements. Lead teams and provide coaching and supervision across project delivery and internal initiatives by assigning and prioritizing work; reviewing technical outputs and deliverables; providing feedback on quality and problem solving; supporting issue resolution; mentoring team members; and contributing to onboarding, recruiting, and development. Lead internal improvement initiatives to enhance team delivery processes and operational capabilities by identifying inefficiencies in internal workflows; implementing improved validation methods and operating procedures for the practice; developing internal automations and reusable internal assets; piloting process improvements; measuring impact on team efficiency; and driving initiatives to improve internal quality, scalability, and throughput. Telecommuting permitted.
Qualified applicants for this position must possess a Master’s degree in Engineering Management, Computer Engineering or related field or foreign degree equivalent. Experience must include: Minimum two (2) years of experience performing qualitative and quantitative analyses on healthcare datasets. Experience must include: Working with large healthcare datasets and data visualization tools including Power BI or Tableau; Proficiency in analyzing large scale datasets on Databricks, Snowflake and synthesizing results for insight presentations; Cross-functional communication with internal and external stakeholders; Using programming language such as Java, Python, or SQL; Applying knowledge of cloud-based databases and data warehousing solutions such as AWS, Azure, SQL Database, or Google Cloud SQL; Working with healthcare-related data while following applicable data privacy guidelines, including HIPAA/PHI requirements; Using regression analysis to interpret and analyze data, identify trends, and generate actionable insights; Lead complex projects, including diagnostics, deployments and on-going support, moving clients through insights to actions and embedding solutions for sustainable impact. Salary: $165,200-$230,100/ year.
BENEFITS SUMMARY: McKinsey provides a comprehensive benefits package. This includes medical, mental health, dental & vision coverage, telemedicine services, life, accident & disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, & paid time off. See: https://www.mckinsey.com/careers/explore#benefits
HOW TO APPLY: Email your resume to [email protected] & refer to Job # 9914625.
Worksite: McKinsey & Company Inc. US, 110 Edison Place, Suite 400, Newark, New Jersey 07102
Place of Work
Hybrid
Requisition ID
9914625
Job Type
Full Time
Application Instructions
Email your resume to [email protected] & refer to Job # 9914625.
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