Business Strategy Principal- AI Enablement & Portfolio Execution

Federal Express Corporation•Collierville, TN

1d•$8,007 - $18,150•Remote

About The Position

Provides leadership in the evaluation of strategic objectives, formulation of strategic direction, and influences decision making based on assessment of business trends and data analytics. ARTIFICIAL INTELLIGENCE – AI STRATEGY FUNCTIONS Lead the AI enablement as a practice within portfolio operations, identifying high-value use cases, standing up agent-based capabilities, and partnering with Enterprise. Embed AI insights into across teams and workflows, improving decision quality and speed. Agentic AI & Workflow Orchestration - Designing and deploying autonomous AI agents. Turn manual marketing processes into automated agentic workflows. Architecture & Integration – connecting APIs, event triggers, approval loops between AI tools and enterprise systems (CRM, CMS, or ERP). Providing updates to all levels of stakeholders to escalate risks and issues, updates, tracks, communicates status of initiatives through the demand lifecycle and monitors timing of release milestones. The ability to think strategically. Influencing business decisions using appropriate, fact-based information synthesized from structured and unstructured data. Facilitate workshops, meetings, ceremonies, etc. as applicable to remove barriers, improve collaboration, mitigate risk, and ensure the free flow of information between all impacted stakeholders. PORTFOLIO MANAGEMENT FUNCTIONS Lead the evolution of the Commercial Portfolio product development operating model through business agility constructs aligned to the Scaled Agile Framework. Partners with Demand Requestors/Initiative Owners, Enterprise Strategic Program Managers, Portfolio leads, Architecture teams, and Leadership to enable value-based decision making and ensure alignment and prioritization of demand. Driving consistent use of operating model standards and tooling to ensure solid execution and accelerated value delivery. Leadership for the tools, dashboards and reporting to provide the right level of status, visibility to save time and drive positive outcomes. Collaborates with the enterprise tooling and data analytics teams to integrate into corporate systems, leverage common data sources and ensure data quality.

Requirements

Bachelor’s Degree in a quantitative business field or closely related technical specialized field of study.
Seven (7) years related work experience.
Work experience in functions focused on strategy development, competitive, customer, and industry analysis, market research, analysis of product performance, and support of corporate development/strategic value assessment activities.
Experience of supporting strategic assessments that are transformational in nature.
Demonstrated business acumen including understanding the impact of technology trends on business.
Strong communication and presentation skills, problem structuring and problem solving skills.
Strong quantitative and analytical skills, including experience in databases, business intelligence (BI) tools, MS Office products and data modeling.
Strong human relations skills.

Nice To Haves

More advanced degrees may offset experience requirements. A related Master’s Degree equals two (2) years experience.

Responsibilities

Plans, organizes, and develops recommendations grounded in deep understanding of the business, industry and market trends, consumer behavior, customer segments, and competitive strategy.
Predicts changes in the current market and summarizes insights from proprietary and third-party data and information to create distinctive insights.
Develops and implements complex business analyses, manages business case development, and business-at-risk assessments.
Develops research methodologies to understand key strategic issues, identifies data sources (internal and external) and develops complex opportunity models using statistical and business intelligence (BI) tools.
Develops strategic frameworks and manages processes to build business scenarios using strategic thinking and decision science analysis.
Provides a point of view on key strategic issues across major dimensions of the business – commercial, operations, customer segments, technology, etc.
Engages with leadership teams/key stakeholders on identified priorities supported with clear fact based recommendations and provides actionable insights to leadership teams to recommend course of action.
Provides thought leadership to cross-functional teams working on strategic initiatives and acts as an internal consultant to senior management.
Takes responsibilities to manage external consulting engagements with industry experts and takes on coaching and mentoring roles.
Lead the AI enablement as a practice within portfolio operations, identifying high-value use cases, standing up agent-based capabilities, and partnering with Enterprise.
Embed AI insights into across teams and workflows, improving decision quality and speed.
Designing and deploying autonomous AI agents.
Turn manual marketing processes into automated agentic workflows.
Connecting APIs, event triggers, approval loops between AI tools and enterprise systems (CRM, CMS, or ERP).
Providing updates to all levels of stakeholders to escalate risks and issues, updates, tracks, communicates status of initiatives through the demand lifecycle and monitors timing of release milestones.
The ability to think strategically.
Influencing business decisions using appropriate, fact-based information synthesized from structured and unstructured data.
Facilitate workshops, meetings, ceremonies, etc. as applicable to remove barriers, improve collaboration, mitigate risk, and ensure the free flow of information between all impacted stakeholders.
Lead the evolution of the Commercial Portfolio product development operating model through business agility constructs aligned to the Scaled Agile Framework.
Partners with Demand Requestors/Initiative Owners, Enterprise Strategic Program Managers, Portfolio leads, Architecture teams, and Leadership to enable value-based decision making and ensure alignment and prioritization of demand.
Driving consistent use of operating model standards and tooling to ensure solid execution and accelerated value delivery.
Leadership for the tools, dashboards and reporting to provide the right level of status, visibility to save time and drive positive outcomes.
Collaborates with the enterprise tooling and data analytics teams to integrate into corporate systems, leverage common data sources and ensure data quality.
Perform other duties as assigned.