Construction Planning Analytics Manager

Suffolk Construction•Boston, MA

5d•Onsite

About The Position

Suffolk is seeking a Planning (Scheduling) Analytics Manager with expertise in CPM scheduling, construction planning, data analytics, P6 administration, and corporate reporting. This role is for a visionary with extensive experience in planning and a subject matter expert in project scheduling, passionate about applying cutting-edge technologies, specifically leading the transformation of project scheduling through AI integration. This strategic position is ideal for someone who can identify solutions in planning data and has the business acumen to convert insights into strategic opportunities. The manager will oversee multi-million-dollar projects across various sectors including commercial, higher education, K-12 schools, healthcare, life science, and data center construction. The role involves collaboration with planning, operations excellence, data analytics, and IT departments to support and implement high-quality, data-driven processes and tools, ensuring data accuracy and consistent reporting through optimal processes and tools using historical data and planning trends. The position also focuses on deriving key findings from planning data and leveraging these insights into initiatives that support business outcomes.

Requirements

A minimum of 10 years of experience in project scheduling with a proven record in managing large-scale projects.
10+ years of P6 experience.
A Subject matter expert (SME) who understands cost, and resource loading, administration, dataflow, and architecture.
Highly proficient using Schedule analytical tools such as SmartPM, Steel ray and/or Acumen Fuse.
Leading and mentoring junior team members.
Active Planning and Scheduling Professional (PSP) from AACEI or able to obtain within 6 months of hire.
Deep understanding of cost control methods, particularly in the domains of commercial and residential real estate, and healthcare construction.
Exceptional analytical and strategic thinking skills, capable of conducting in-depth schedule analyses.
Strong leadership and collaboration abilities, with experience working effectively alongside data science teams and other stakeholders to achieve technological integration and innovation.

Nice To Haves

Experience in Data analytical and visualization tools such as Tableau, Power BI, PowerApps is a plus.

Responsibilities

Oversee a portfolio of 100+ projects and predict schedule risks.
Implement scheduling best practices and ensure compliance with Suffolk’s SOP.
Advance technology & data by implementing cutting-edge tools to improve scheduling processes.
Manage a small team of Planning Analysts and support planners ensuring the quality of their schedule product.
Consolidate and finalize the monthly schedule status report for all active projects, ensuring accurate reflection of schedule variances and explanations in dashboards for KPIs and performance measurements.
Conduct internal draft baseline reviews for projects over $5 million to ensure compliance with Suffolk SOP and identify schedule risks.
Present findings to field operations.
Analyze all projects in the portfolio using planning functional metrics, tripwires, schedule quality, historical data, dashboards, and tech tools to predict schedule risks throughout the lifecycle.
Conduct Deep Dive schedule analysis on at-risk projects using historical data and analytics, and present findings to regional leadership and corporate executives.
Deploy external tech tools such as SmartPM, Acumen Fuse, Graphic schedule for schedule analysis and reporting.
Manages P6 Administration for over one hundred users.
As a Subject matter expert (SME) in P6, train and coach users on advanced P6 tricks and tips.
Enhance tech tools and planning dashboards such as Planning Placemat, Quick Schedule, Focus App and Regional Summary to visually represent findings and insights.
Utilize historical data and predictive analytics to enhance the accuracy of project planning and forecasting.
Drive the integration of AI technologies into scheduling practices, collaborating with the data science team to pioneer industry-leading applications.
Facilitate the integration of scheduling systems with advanced cost estimating platforms, ensuring superior project control and financial management.
Champion innovative scheduling techniques and technologies that push the boundaries of traditional project management.
Oversee P6 data governance to ensure data cleanliness for reporting and integration.
Evaluate and identify the best technology tools available in the market to improve business processes.
Pilot, implement, and train users on new tools to enhance operational efficiency.