How to hire a head of information systems and data processing

How to hire a head of information systems and data processing, step by step

Here's a step-by-step head of information systems and data processing hiring guide:

• Step 1: Identify your hiring needs
• Step 2: Create an ideal candidate profile
• Step 3: Make a budget
• Step 4: Write a head of information systems and data processing job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new head of information systems and data processing
• Step 8: Go through the hiring process checklist

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1. Identify your hiring needs

   First, determine the employments status of the head of information systems and data processing you need to hire. Certain head of information systems and data processing roles might require a full-time employee, whereas others can be done by part-time workers or contractors.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

   Yes

   No

   Hiring the perfect head of information systems and data processing also involves considering the ideal background you'd like them to have. Depending on what industry or field they have experience in, they'll bring different skills to the job. It's also important to consider what levels of seniority and education the job requires and what kind of salary such a candidate would likely demand.

   This list shows salaries for various types of heads of information systems and data processing.

   Type of Head Of Information Systems And Data Processing	Description	Hourly rate
   Head Of Information Systems And Data Processing	Computer and information systems managers, often called information technology (IT) managers or IT project managers, plan, coordinate, and direct computer-related activities in an organization. They help determine the information technology goals of an organization and are responsible for implementing computer systems to meet those goals.	$50-106
   Delivery Manager	A delivery manager oversees the delivery process and workforce in a company, ensuring accuracy and timeliness. Their responsibilities primarily revolve around coordinating all personnel, managing budgets and schedules, and monitoring all shipments and logistics... Show more	$39-75
   Technical Manager	A technical manager is responsible for maintaining the company's information systems database and analyzing technology system matters to ensure its efficiency and accuracy in supporting business operations. Technical managers perform network checks regularly to assess any possible malfunctions that might compromise the company's cybersecurity... Show more	$40-77

   Show more

2. Create an ideal candidate profile

   Common skills:

   • Business Intelligence
   • Data Entry
   • Payroll
   • Data Management

   Responsibilities:

   • Manage all aspects of information technology including database management, network information services, troubleshoot system applications, etc.
   • Install backbone for office intranet & public access.
   • Utilize ITIL v3 references for integration into the NSN global processes.
   • Convert an antiquate telephone and messaging system to a VoIP communications system, increasing accessibility and responsiveness to clients and customers.
   • Install a vendor in-plant store including physical organization as well as transaction logistics and coordination of maintenance and staffing.

3. Make a budget

   Including a salary range in your head of information systems and data processing job description is a great way to entice the best and brightest candidates. A head of information systems and data processing salary can vary based on several factors:

   • Location. For example, heads of information systems and data processing' average salary in hawaii is 43% less than in new york.
   • Seniority. Entry-level heads of information systems and data processing earn 52% less than senior-level heads of information systems and data processing.
   • Certifications. A head of information systems and data processing with a few certifications under their belt will likely demand a higher salary.
   • Company. Working for a prestigious company or an exciting start-up can make a huge difference in a head of information systems and data processing's salary.

   Average head of information systems and data processing salary

   $152,682yearly

   $73.40 hourly rate

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   Entry-level head of information systems and data processing salary

   $105,000 yearly salary

   Updated December 14, 2025

4. Writing a head of information systems and data processing job description

   A job description for a head of information systems and data processing role includes a summary of the job's main responsibilities, required skills, and preferred background experience. Including a salary range can also go a long way in attracting more candidates to apply, and showing the first name of the hiring manager can also make applicants more comfortable. As an example, here's a head of information systems and data processing job description:

   Head of information systems and data processing job description example

   We have a simple belief - Unexpected Works. It means that the best idea is the one you never saw coming. The thing that catches you so off guard that you can't look away. And the only path to genuinely unexpected works is through creativity. Not just what passes for creativity because it answers a brief, looks the part and helps everyone sleep at night. But creativity that is foreign, surprising and interesting enough to cause jaws to drop and sales to soar. It's having the fresh perspective and raw energy to bring something into the world that no one's ever seen before. We're talking about the courage to shake things up and maybe even tear a few things down. And knowing that what most would call the finish line is where the real work starts. We believe in people, product, and profit, in that order. For us, people always come first. They're the soul of our agency. It takes amazing folks to make amazing work. That's why we make sure everyone who comes through the door is as great as the people who are already here. It's also why we constantly strive to build diverse teams where everyone brings something unique to the table. Because you can't make the unexpected if you only work with the usual suspects. By bringing together diverse thinkers with different backgrounds and perspectives, we validate Bill Bernbach's notion that an idea can turn to dust or magic, depending on the talent that rubs against it. So, come be part of the magic.
   
   + Augment a data science practice solving business problems and fueling creativity at DDB. Bring in leading edge thinking and work collaboratively with strategists, analysts and business leads to analyze, understand, and execute efficient approaches to interrogate data to distill insights and leveraging those insights for value.
   
   + Direct with appropriateness of techniques and recommend relevant, innovative solutions and to partner teams. Utilize a multidisciplinary approach to data science problems combining technical expertise, data science knowledge, marketing, and business exposure
   
   + Manage and execute evaluation of data availability. Prepare and clean data for custom algorithmic models. Navigate data storage infrastructure and create efficient pipeline to provide data inputs to bespoke algorithmic models.
   
   + Explore and find the untold story with structured and unstructured data, manipulating large datasets. Plan and execute robust designs of experiments for recursive learning and optimization of content
   
   + Replicate a track record of building machine learning models and recommender systems that become the core components driving our marketplace and recommending product/content in communications. Amplify use of data creatively, without compromising on analytical rigor.
   
   + Fluency in media, retail, social datasets, and CRM databases. Python expertise required. R, Java, C++ all a plus. Familiarity with data storage and access infrastructure.
   
   + Train and build an exemplary team skilled in advanced analytical skills, creative problem solving and nurture a culture of pronounced curiosity and collaboration
   
   + Experience as a Senior Data Scientist with expertise building Machine Learning and advanced coding for analytics/user interfaces
   
   + Experience in feature extraction, addressable audience creation, classification, cross validation, bootstrapping, Bayesian techniques recommender systems and marketplace optimization for media, creative and marketing content and offers.
   
   + Extensive experience with Python. Java, R, SAS, SQL, Machine Learning and Deep Learning algorithms. Develop code in Python or, R, and SQL for modeling optimization, simulation, and statistical analysis. Familiarity and exposure to AWS S3, TensorFlow Hadoop, MapReduce Platform, and/or Apache Spark, Apache HDFS, Apache Kafka .... desirable
   
   + University degree ideally in statistics, computer science or a related quantitative discipline; 10 years of experience in solving complex analytical and data science problems with copious amounts of data to apply Machine Learning, NLP, NLG, Computer Vision and build Interactive Data Visualization
   
   + Advanced degree is a definite plus. Advanced Degree (MS/Ph.D) in Statistics or Predictive Analytics and/or Quantitative Methods or Computer Science or Information Systems
   
   DDB is committed to diversity in its workforce and is proud to be an equal opportunity employer and to review all of our job postings to minimize biased language. DDB Chicago does not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law.
   External Company URL: www.ddb.com
   
   Street: 225 Michigan Ave

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5. Post your job

   To find the right head of information systems and data processing for your business, consider trying out a few different recruiting strategies:

   • Consider internal talent. One of the most important sources of talent for any company is its existing workforce.
   • Ask for referrals. Reach out to friends, family members, and current employees and ask if they know or have worked with heads of information systems and data processing they would recommend.
   • Recruit at local colleges. Attend job fairs at local colleges to recruit heads of information systems and data processing who meet your education requirements.
   • Social media platforms. LinkedIn, Facebook and Twitter now have more than 3.5 billion users, and you can use social media to reach potential job candidates.

   Post your job online:

   • Post your head of information systems and data processing job on Zippia to find and recruit head of information systems and data processing candidates who meet your exact specifications.
   • Use field-specific websites.
   • Post a job on free websites.

6. Interview candidates

   To successfully recruit heads of information systems and data processing, your first interview needs to engage with candidates to learn about their interest in the role and experience in the field. You can go into more detail about the company, the role, and the responsibilities during follow-up interviews.

   Remember to include a few questions that allow candidates to expand on their strengths in their own words. Asking about their unique skills might reveal things you'd miss otherwise. At this point, good candidates can move on to the technical interview.

   The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

7. Send a job offer and onboard your new head of information systems and data processing

   Once you've found the head of information systems and data processing candidate you'd like to hire, it's time to write an offer letter. This should include an explicit job offer that includes the salary and the details of any other perks. Qualified candidates might be looking at multiple positions, so your offer must be competitive if you like the candidate. Also, be prepared for a negotiation stage, as candidates may way want to tweak the details of your initial offer. Once you've settled on these details, you can draft a contract to formalize your agreement.

   It's also important to follow up with applicants who do not get the job with an email letting them know that the position is filled.

   After that, you can create an onboarding schedule for a new head of information systems and data processing. Human Resources and the hiring manager should complete Employee Action Forms. Human Resources should also ensure that onboarding paperwork is completed, including I-9s, benefits enrollment, federal and state tax forms, etc., and that new employee files are created.

8. Go through the hiring process checklist

   • Determine employee type (full-time, part-time, contractor, etc.)
   • Submit a job requisition form to the HR department
   • Define job responsibilities and requirements
   • Establish budget and timeline
   • Determine hiring decision makers for the role
   • Write job description
   • Post job on job boards, company website, etc.
   • Promote the job internally
   • Process applications through applicant tracking system
   • Review resumes and cover letters
   • Shortlist candidates for screening
   • Hold phone/virtual interview screening with first round of candidates
   • Conduct in-person interviews with top candidates from first round
   • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
   • Conduct background checks on top candidates
   • Check references of top candidates
   • Consult with HR and hiring decision makers on job offer specifics
   • Extend offer to top candidate(s)
   • Receive formal job offer acceptance and signed employment contract
   • Inform other candidates that the position has been filled
   • Set and communicate onboarding schedule to new hire(s)
   • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)

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