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Sr Director Data Engineering Analytics Jobs (NOW HIRING)

JLL

Sr. Director, Data Engineering

Dallas, TX · On-site

What this job involves We are seeking an experienced Sr. Director, Data Engineering to lead the ... analytics to data-driven operational automation - while building the engineering culture ...

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Join Global Partners as Senior Director of Data Engineering to lead the architecture, development ... Additional Experience * 12+ years of experience in Data Engineering, Analytics Engineering, or Data ...

Curology

Senior Director Data & Analytics

San Diego, CA · Remote

The mission of the Senior Director, Data & Analytics is to build the data foundation and analytical ... Collaborate with Data Engineering to ensure scalable, secure, and accessible data infrastructure ...

subway

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics ... Lead and develop managers, leads, and senior data engineers; build strong engineering capability ...

subway

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics ... Lead and develop managers, leads, and senior data engineers; build strong engineering capability ...

Navan

Senior Director, Data

San Francisco, CA · On-site

Position Overview As our Senior Director of Data, you will serve as the strategic visionary and ... You will champion, build, and inspire a world-class team across data engineering, analytics, and ...

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How much do sr director data engineering analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for sr director data engineering analytics in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

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For Sr Director Data Engineering Analytics jobs, the most frequently searched job titles are:

Director, Data Engineering & Analytics

Naperville, IL • On-site

KeHE Distributors, LLC
Transportation and Warehousing • 5 - 10K employees
Learn more about KeHE Distributors, LLCexternal

$156K - $229K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

KeHE Distributors rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

37th of 49 rated food wholesalers

Job description

Why Work for KeHE?
  • Full-time
  • Pay Range: $156,640.00/Yr. - $229,598.00/Yr.
  • Shift Days: , Shift Time:
  • Benefits on Day 1
    • Health/Rx
    • Dental
    • Vision
    • Flexible and health spending accounts (FSA/HSA)
    • Supplemental life insurance
    • 401(k)
    • Paid time off
    • Paid sick time
    • Short term & long term disability coverage (STD/LTD)
    • Employee stock ownership (ESOP)
    • Holiday pay for company designated holidays

    Overview
    At KeHE, we're obsessed with creating solutions, unboxing potential, and serving others - and it all starts with you. As an employee-owned distributor of natural and organic, specialty, and fresh products, we're committed to making a positive impact and scaling our success together. With a culture that fosters development and opportunity, you'll be embarking on a career that's moving forward. When you join KeHE, you're becoming part of a team that is a force for good.
    Primary Responsibilities
    The Director, Data Engineering & Analytics is accountable for the strategy, delivery, reliability, and continuous improvement of KeHE's enterprise data, analytics, and business intelligence capabilities. This leader directly manages and mentors managers and senior professionals responsible for data engineering, analytics platforms, semantic models, reporting solutions, data governance, and operational support. The role partners closely with business and technology leaders to translate enterprise priorities into scalable data products, actionable insights, and measurable business outcomes while ensuring solutions align with KeHE's architecture principles, security standards, and Mission, Vision, and Values.
    Essential Functions
    DUTIES, TASKS AND RESPONSIBILITIES:
    • Provide strategic, technical, and operational leadership across data engineering and analytics platform teams.
    • Own and communicate the data and analytics roadmap in partnership with Product Management, business stakeholders, enterprise architecture, security, and infrastructure teams.
    • Lead the design, build, deployment, and support of scalable data pipelines, curated data products, reporting solutions, semantic layers, and analytics platforms.
    • Drive modernization of enterprise analytics capabilities, including cloud data platforms, Power BI, data lakehouse or warehouse patterns, orchestration, automation, metadata management, and self-service analytics enablement.
    • Establish and monitor delivery, quality, adoption, reliability, and operational health metrics for data products, platforms, and team performance.
    • Ensure data solutions follow architecture principles, information security requirements, privacy expectations, data governance standards, and change management practices.
    • Partner with business leaders across Finance, Commercial, Operations, Supply Chain, and IT to prioritize high-value analytics use cases and deliver measurable outcomes.
    • Champion data quality, master data alignment, lineage, stewardship, access controls, documentation, and sustainable support models.
    • Lead teams through product-centric delivery practices, including requirements refinement, design reviews, development, testing, release readiness, validation, adoption support, and continuous improvement.
    • Manage budgets, vendor and consulting partner relationships, resource plans, work plans, schedules, risks, and performance expectations.
    • Hire, coach, mentor, and develop managers and individual contributors; create individual development plans, succession plans, and clear team goals.
    • Foster a culture of innovation, accountability, proactive communication, continuous learning, automation, and cross-functional collaboration.
    • Stay current with emerging data, analytics, AI, cloud, governance, and integration trends and apply them pragmatically to improve business outcomes.
    • The above statement of duties is not intended to be all inclusive, and other duties will be assigned as needed.

    Minimum Requirements, Qualifications, Additional Skills, Aptitude
    SKILLS, KNOWLEDGE AND ABILITIES:
    • Proven track record leading data engineering, analytics, BI, or data platform teams in a matrixed enterprise environment.
    • Strong understanding of modern data architecture patterns, including cloud data platforms, data warehouses, data lakes or lakehouses, ETL/ELT, orchestration, semantic modeling, APIs, and governed self-service analytics.
    • Deep experience with SQL, dimensional modeling, data integration, data quality practices, metadata, lineage, and enterprise reporting design.
    • Experience with BI and analytics platforms such as Power BI and with cloud-based data services, preferably AWS, Microsoft Fabric, Azure, Snowflake, Redshift, Databricks, or equivalent platforms.
    • Ability to connect technical delivery to business outcomes, adoption, ROI, risk reduction, operational efficiency, and executive decision-making.
    • Strong knowledge of data governance, data security, access management, privacy, compliance, auditability, and production support expectations.
    • Experience establishing KPIs, service levels, delivery metrics, platform health measures, and continuous improvement routines.
    • Strong vendor management, budgeting, capacity planning, roadmap planning, and prioritization capabilities.
    • Exceptional written, verbal, and presentation skills, with the ability to communicate complex data and technology concepts to executive, business, and technical audiences.
    • Strong storytelling skills to translate analytics insights, platform investments, risks, decisions, and tradeoffs into clear leadership-level narratives.
    • Strategic thinking, critical problem-solving, and pragmatic execution skills with an entrepreneurial and future-looking mindset.
    • Strong relationship management skills and the ability to build trust across business, technology, security, architecture, and operations teams.
    • Ability to lead through ambiguity, manage competing priorities, influence without direct authority, and build scalable operating models.

    EDUCATION AND EXPERIENCE:
    • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, Engineering, Mathematics, or a related technical field. A Master's degree is preferred.
    • 10+ years of progressive experience in data engineering, analytics, data architecture, and enterprise technology delivery.
    • 5 to 7 years of people leadership experience managing managers, technical leads, data engineers, BI developers, analytics professionals, administrators, contractors, or offshore teams.
    • Demonstrated experience delivering enterprise data platforms, analytics products, reporting solutions, data pipelines, and governed self-service BI capabilities using agile, product-centric, or hybrid delivery methods.
    • Experience with DevOps or DataOps practices, including CI/CD, release management, automated testing, monitoring, incident management, documentation, and operational support.
    • Experience with cloud-based providers and enterprise data services, preferably AWS and/or Microsoft data platforms.
    • Experience with modern integration and analytics technologies such as SQL, Python, APIs, orchestration tools, Power BI, semantic models, ETL/ELT tools, data catalogs, Redshift, Fabric, Snowflake, Databricks, or equivalent platforms.
    • Experience leading cross-functional analytics initiatives that serve business functions such as Finance, Commercial, Operations, Supply Chain, or Enterprise IT.
    • Experience with budgeting, vendor management, consulting partner oversight, delivery governance, and executive stakeholder communication.

    PHYSICAL REQUIREMENTS:
    These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job.
    Requisition ID
    2026-30021
    Equal Employer Opportunity Statement
    KeHE Distributors provides equal employment opportunities to all employees and applicants for employment and prohibits all forms of discrimination and harassment on the basis of race, color, religion or faith, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training as well as the administration of all Human Resources and Talent Acquisition processes.

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