Senior Manager Analytics & Decision Systems

Overview

SENIOR MANAGER, ANALYTICS & DECISION SYSTEMS (BI ARCHITECT)

POSITION SUMMARY

We are seeking a Senior Manager, Analytics & Decision Systems (BI Architect) to lead the strategy, governance, and delivery of enterprise analytics and business intelligence capabilities. This role will establish and drive reporting frameworks, enterprise KPI standards, executive dashboards, and self-service analytics solutions that enable data-driven decision-making across operational, financial, engineering, supply chain, and business development functions.

The successful candidate will combine strategic leadership, business intelligence expertise, and strong stakeholder management skills to translate business priorities into actionable insights and measurable outcomes. Working closely with business leaders, Data Engineering, and Enterprise Architecture teams, this individual will oversee the development of scalable Power BI solutions, strengthen reporting governance, drive analytics adoption, and lead teams in delivering enterprise-wide decision-support capabilities.

Primary Location: Louisiana, USA (Fully Remote)

Work Model: Fully Remote

Employment Type: Contract: 6-month term, with the possibility of a 1-year extension.

RESPONSIBILITIES

• Define and lead the enterprise analytics, business intelligence, and reporting strategy
• Establish and standardize enterprise KPI frameworks across Finance, Operations, Engineering, Supply Chain, and Business Development
• Lead the development, delivery, and continuous enhancement of executive dashboards and decision-support solutions
• Oversee the design and development of Power BI dashboards, semantic models, and self-service reporting capabilities
• Ensure consistency, accuracy, and alignment of operational and financial reporting across the organization
• Partner with Data Engineering and Enterprise Architecture teams to ensure reliable, governed, accessible, and scalable data solutions
• Drive adoption of analytics tools and promote data-driven decision-making practices across the business
• Establish reporting governance frameworks, dashboard standards, and analytics development methodologies
• Prioritize analytics initiatives based on business value, organizational priorities, and operational impact
• Lead, mentor, and develop analytics engineering and business intelligence team members
• Collaborate with business stakeholders to identify opportunities for operational improvement through analytics and actionable insights
• Monitor analytics adoption, utilization, and effectiveness to ensure measurable business outcomes

QUALIFICATIONS, SKILLS & EXPERIENCE

• U.S. Citizenship is required
• Bachelor's degree in Information Systems, Analytics, Business, Engineering, Computer Science, or a related field
• 8+ years of experience in analytics, business intelligence, reporting, or related disciplines
• 3+ years of leadership experience managing analytics, BI, or reporting teams
• Proven experience building and scaling enterprise analytics programs, KPI frameworks, and reporting capabilities
• Strong hands-on and leadership experience with Power BI or comparable enterprise business intelligence platforms
• Experience defining analytics strategies and aligning reporting initiatives with organizational and business objectives
• Strong understanding of data governance, reporting standards, and enterprise performance measurement
• Demonstrated experience collaborating with business and technology stakeholders to deliver enterprise analytics solutions
• Experience leading enterprise reporting, dashboarding, and decision-support initiatives
• Strong analytical, problem-solving, and decision-making skills
• Excellent communication, stakeholder management, and leadership abilities

• Ability to communicate complex technical concepts and business recommendations clearly, concisely, and directly, particularly with executive stakeholders

• Strong technical depth in enterprise analytics architecture, including the ability to explain architectural decisions, solution design, and implementation approaches

• Experience building, scaling, and leading analytics functions within growing organizations

• Experience managing teams of more than 2–3 professionals, with the ability to lead larger, evolving teams

• Experience managing managers and multi-layered teams is preferred but not mandatory

• Experience leading both Business Analytics and Analytics Engineering functions

• Ability to understand operational processes, identify critical-path activities, and prioritize opportunities for automation and process improvement

• Ability to connect operational business requirements with enterprise dashboards, KPI frameworks, and analytics engineering solutions

• Strong strategic and execution capabilities, with the ability to establish a vision while providing direction and oversight for technical delivery

NICE TO HAVE

• Experience in manufacturing, industrial, engineering, shipbuilding, or other operationally focused environments
• Experience implementing and scaling self-service analytics programs
• Familiarity with Azure data and analytics technologies
• Experience supporting operational performance management, forecasting, and planning initiatives
• Knowledge of enterprise data architecture and modern analytics platforms
• Experience developing executive-level dashboards and KPI scorecards
• Familiarity with Agile delivery methodologies
• Relevant Microsoft Power BI or analytics-related certifications

ABOUT ADASTRA

Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future-ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation’s implementation and support of employment initiatives encourage diversified labour force participation and equal access to opportunities based on merit and performance.

AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.

There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com’ or ‘@talent.icims.com’ are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.

Contact careers@adastragrp.com to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.