Senior Director, Data & Analytics Engineering

Jobtailor

Kansas

On-site

USD 180,000 - 280,000

Full time

14 days+

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Job summary

Jobtailor is seeking a seasoned Data & Analytics Platform Leader to define and execute the enterprise data strategy, aligning analytics capabilities with growth and digital transformation objectives. You will partner with executive leadership to shape governance, cloud architecture, and data product roadmaps.

This role leads a multi‑layer engineering organization, drives budget and vendor decisions, and champions scalable data platforms (Snowflake, Kafka, dbt, Tableau/Looker) to empower

Qualifications

Minimum 11+ years in data/analytics leadership or data platform leadership, with 5+ years managing managers or senior technical teams.
Demonstrated success defining enterprise data/analytics strategies across scalable organizations.
Experience leading through multiple leadership layers (managers, architects, senior leads).
Proven ability to influence executive stakeholders and drive alignment across business, product, operations, and technology.
Strong budgeting, vendor management, and strategic sourcing experience.

Responsibilities

Define and drive the long‑term enterprise data/analytics strategy aligned with growth and digital transformation objectives.
Advise executive leadership on data, AI, governance, and technology investments.
Set organizational priorities, operating models, and investment strategies for scalable platforms.
Lead a multi‑layer engineering organization, including managers and technical leaders.
Design the talent strategy and operating model to support rapid growth and evolving tech needs.
Manage budgets, vendor relationships, and strategic technology investments.
Champion data products, governance standards, and self‑service analytics across the enterprise.
Establish enterprise standards, architectural principles, and governance frameworks.
Represent the Data & Analytics function in executive forums and strategic planning.

Skills

Data leadership

Executive stakeholder management

Strategic planning

Organizational change management

Budget management

Education

Bachelor's degree in a related field

Tools

Snowflake

Fivetran

dbt

Kafka

Tableau

Looker

Job description

Define and drive the long‑term enterprise vision and strategy for data and analytics engineering, ensuring alignment with corporate growth objectives, digital transformation initiatives, and business strategy.
Serve as a trusted advisor to executive leadership, influencing enterprise decisions related to data, analytics, AI, governance, and technology investments.
Establish organizational priorities, operating models, and investment strategies that optimize platform scalability, business value delivery, and technology modernization.
Lead and develop a multi‑layered organization of engineering managers, architects, and technical leaders, building leadership bench strength and succession plans for critical roles.
Design and evolve the organizational structure, talent strategy, and operating model required to support rapid business growth and emerging technology needs.
Manage departmental budgets, vendor relationships, and strategic technology investments to ensure effective allocation of resources and achieve business outcomes.
Drive enterprise‑wide adoption of data products, governance standards, AI capabilities, and self‑service analytics through partnership with senior business and technology leaders.
Establish and champion enterprise standards, architectural principles, and data governance frameworks that enable consistency, compliance, and scalability across business functions.
Represent the Data & Analytics function in executive forums, strategic planning sessions, and enterprise transformation initiatives.
Other duties as assigned.

Requirements

Min. 11 years of experience in data engineering, analytics engineering, or data platform leadership, including 5+ years leading managers or senior technical teams.
15+ years of progressive experience in data engineering, analytics engineering, data platforms, or enterprise technology leadership, including 8+ years leading managers, senior leaders, and large‑scale engineering organizations.
Demonstrated success defining and executing enterprise‑wide data, analytics, or digital transformation strategies across complex, rapidly scaling organizations.
Experience leading through multiple layers of leadership, including managers, senior managers, architects, and technical leads.
Proven ability to influence executive stakeholders and drive alignment across business, product, operations, and technology organizations.
Experience managing significant budgets, technology investments, vendor relationships, and strategic sourcing decisions.
Track record of building and scaling high‑performing organizations while driving organizational change, capability development, and succession planning.
Experience presenting technology strategies, business cases, investment recommendations, and transformation roadmaps to executive leadership teams and Board‑level audiences.
Deep expertise in architecting, scaling, and governing modern cloud‑based data platforms, including data warehousing, ingestion, transformation, semantic modeling, and data product frameworks, with extensive experience leveraging technologies such as Snowflake, Fivetran, dbt, and contemporary ELT ecosystems.
Demonstrated expertise in modern streaming and near‑real‑time data architectures, including Kafka, CDC, and dynamic data processing patterns, with the ability to evaluate, prioritize, and implement solutions that enable business agility and data‑driven decision‑making.
Extensive experience with software engineering best practices and agile delivery (sprint planning, code review, testing, CI/CD, on‑call, postmortems).
Strong understanding of enterprise analytics and data consumption strategies, including BI and visualization platforms such as Tableau, Looker, or similar tools, with the ability to influence stakeholders and align analytical capabilities to business objectives.

Core Competencies

Demonstrates extensive expertise in defining and executing enterprise‑wide data and analytics strategies, with a strong focus on cloud‑based data platforms and governance frameworks. Proven ability to lead multi‑layered organizations, manage significant budgets, and influence executive stakeholders to drive alignment with business objectives.

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